{"id":"https://openalex.org/W2523999758","doi":"https://doi.org/10.1109/tbme.2016.2614137","title":"Local Transverse-Slice-Based Level-Set Method for Segmentation of 3-D High-Frequency Ultrasonic Backscatter From Dissected Human Lymph Nodes","display_name":"Local Transverse-Slice-Based Level-Set Method for Segmentation of 3-D High-Frequency Ultrasonic Backscatter From Dissected Human Lymph Nodes","publication_year":2016,"publication_date":"2016-09-28","ids":{"openalex":"https://openalex.org/W2523999758","doi":"https://doi.org/10.1109/tbme.2016.2614137","mag":"2523999758","pmid":"https://pubmed.ncbi.nlm.nih.gov/28113305"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2016.2614137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2016.2614137","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049666836","display_name":"Thanh Minh Bui","orcid":"https://orcid.org/0009-0009-8884-0592"},"institutions":[{"id":"https://openalex.org/I4210118047","display_name":"Laboratoire d\u2019Imagerie Biom\u00e9dicale","ror":"https://ror.org/02b9znm90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4210096427","https://openalex.org/I4210118047"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thanh Minh Bui","raw_affiliation_strings":["Laboratoire d'Imagerie Biom\u00e9dicale"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire d'Imagerie Biom\u00e9dicale","institution_ids":["https://openalex.org/I4210118047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044158122","display_name":"Alain Coron","orcid":"https://orcid.org/0000-0003-0599-1133"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210118047","display_name":"Laboratoire d\u2019Imagerie Biom\u00e9dicale","ror":"https://ror.org/02b9znm90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4210096427","https://openalex.org/I4210118047"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alain Coron","raw_affiliation_strings":["Laboratoire d'Imagerie Biom\u00e9dicale, CNRS, INSERM, UPMC Univ Paris 06, Sorbonne Universit\u00e9s, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire d'Imagerie Biom\u00e9dicale, CNRS, INSERM, UPMC Univ Paris 06, Sorbonne Universit\u00e9s, Paris, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I4210118047","https://openalex.org/I39804081","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076167293","display_name":"Jonathan Mamou","orcid":"https://orcid.org/0000-0002-9412-165X"},"institutions":[{"id":"https://openalex.org/I4210132419","display_name":"Riverside Research Institute","ror":"https://ror.org/02tvg0w73","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210132419"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan Mamou","raw_affiliation_strings":["Frederic L. Lizzi Center for Biomedical Engineering, Riverside Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Frederic L. Lizzi Center for Biomedical Engineering, Riverside Research","institution_ids":["https://openalex.org/I4210132419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029223419","display_name":"Emi Saegusa-Beecroft","orcid":null},"institutions":[{"id":"https://openalex.org/I117965899","display_name":"University of Hawai\u02bbi at M\u0101noa","ror":"https://ror.org/01wspgy28","country_code":"US","type":"education","lineage":["https://openalex.org/I117965899"]},{"id":"https://openalex.org/I1312008915","display_name":"Kuakini Medical Center","ror":"https://ror.org/002yfn631","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1312008915"]},{"id":"https://openalex.org/I1331384533","display_name":"University of Hawaii System","ror":"https://ror.org/03tzaeb71","country_code":"US","type":"education","lineage":["https://openalex.org/I1331384533"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emi Saegusa-Beecroft","raw_affiliation_strings":["University of Hawaii and Kuakini Medical Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Hawaii and Kuakini Medical Center","institution_ids":["https://openalex.org/I1312008915","https://openalex.org/I117965899","https://openalex.org/I1331384533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044970442","display_name":"Tadashi Yamaguchi","orcid":"https://orcid.org/0000-0001-5761-4888"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tadashi Yamaguchi","raw_affiliation_strings":["Research Center for Frontier Medical Engineering, Chiba University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Frontier Medical Engineering, Chiba University","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052283859","display_name":"Eugene Yanagihara","orcid":null},"institutions":[{"id":"https://openalex.org/I117965899","display_name":"University of Hawai\u02bbi at M\u0101noa","ror":"https://ror.org/01wspgy28","country_code":"US","type":"education","lineage":["https://openalex.org/I117965899"]},{"id":"https://openalex.org/I1312008915","display_name":"Kuakini Medical Center","ror":"https://ror.org/002yfn631","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1312008915"]},{"id":"https://openalex.org/I1331384533","display_name":"University of Hawaii System","ror":"https://ror.org/03tzaeb71","country_code":"US","type":"education","lineage":["https://openalex.org/I1331384533"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eugene Yanagihara","raw_affiliation_strings":["University of Hawaii and Kuakini Medical Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Hawaii and Kuakini Medical Center","institution_ids":["https://openalex.org/I1312008915","https://openalex.org/I117965899","https://openalex.org/I1331384533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112213212","display_name":"Junji Machi","orcid":null},"institutions":[{"id":"https://openalex.org/I117965899","display_name":"University of Hawai\u02bbi at M\u0101noa","ror":"https://ror.org/01wspgy28","country_code":"US","type":"education","lineage":["https://openalex.org/I117965899"]},{"id":"https://openalex.org/I1312008915","display_name":"Kuakini Medical Center","ror":"https://ror.org/002yfn631","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1312008915"]},{"id":"https://openalex.org/I1331384533","display_name":"University of Hawaii System","ror":"https://ror.org/03tzaeb71","country_code":"US","type":"education","lineage":["https://openalex.org/I1331384533"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junji Machi","raw_affiliation_strings":["University of Hawaii and Kuakini Medical Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Hawaii and Kuakini Medical Center","institution_ids":["https://openalex.org/I1312008915","https://openalex.org/I117965899","https://openalex.org/I1331384533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005499018","display_name":"S. Lori Bridal","orcid":"https://orcid.org/0000-0001-5053-5423"},"institutions":[{"id":"https://openalex.org/I4210118047","display_name":"Laboratoire d\u2019Imagerie Biom\u00e9dicale","ror":"https://ror.org/02b9znm90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4210096427","https://openalex.org/I4210118047"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S. Lori Bridal","raw_affiliation_strings":["Laboratoire d'Imagerie Biom\u00e9dicale"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire d'Imagerie Biom\u00e9dicale","institution_ids":["https://openalex.org/I4210118047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030215699","display_name":"Ernest J. Feleppa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132419","display_name":"Riverside Research Institute","ror":"https://ror.org/02tvg0w73","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210132419"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ernest Joseph Feleppa","raw_affiliation_strings":["Frederic L. Lizzi Center for Biomedical Engineering, Riverside Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Frederic L. Lizzi Center for Biomedical Engineering, Riverside Research","institution_ids":["https://openalex.org/I4210132419"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8738,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.77061933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"64","issue":"7","first_page":"1579","last_page":"1591"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.8977000117301941,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.8977000117301941,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.01080000028014183,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.009399999864399433,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/attenuation","display_name":"Attenuation","score":0.6888023018836975},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.6816624402999878},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5618779063224792},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5613685846328735},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.4840390086174011},{"id":"https://openalex.org/keywords/backscatter","display_name":"Backscatter (email)","score":0.48008638620376587},{"id":"https://openalex.org/keywords/envelope","display_name":"Envelope (radar)","score":0.4555666446685791},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.4332687556743622},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.41664597392082214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4128872752189636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39212244749069214},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3440856337547302},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3281952440738678},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.31561094522476196},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.29212120175361633},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.27722179889678955},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.27148759365081787},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08723175525665283}],"concepts":[{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.6888023018836975},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.6816624402999878},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5618779063224792},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5613685846328735},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.4840390086174011},{"id":"https://openalex.org/C30354325","wikidata":"https://www.wikidata.org/wiki/Q204667","display_name":"Backscatter (email)","level":3,"score":0.48008638620376587},{"id":"https://openalex.org/C65155139","wikidata":"https://www.wikidata.org/wiki/Q5380912","display_name":"Envelope (radar)","level":3,"score":0.4555666446685791},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.4332687556743622},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.41664597392082214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4128872752189636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39212244749069214},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3440856337547302},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3281952440738678},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.31561094522476196},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.29212120175361633},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.27722179889678955},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.27148759365081787},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08723175525665283},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000069453","descriptor_name":"Ultrasonic Waves","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069453","descriptor_name":"Ultrasonic Waves","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069453","descriptor_name":"Ultrasonic Waves","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008197","descriptor_name":"Lymph Node Excision","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008197","descriptor_name":"Lymph Node Excision","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008197","descriptor_name":"Lymph Node Excision","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008198","descriptor_name":"Lymph Nodes","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008198","descriptor_name":"Lymph Nodes","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008198","descriptor_name":"Lymph Nodes","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008198","descriptor_name":"Lymph Nodes","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008198","descriptor_name":"Lymph Nodes","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008198","descriptor_name":"Lymph Nodes","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008207","descriptor_name":"Lymphatic Metastasis","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008207","descriptor_name":"Lymphatic Metastasis","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008207","descriptor_name":"Lymphatic Metastasis","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008207","descriptor_name":"Lymphatic Metastasis","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008207","descriptor_name":"Lymphatic Metastasis","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008207","descriptor_name":"Lymphatic Metastasis","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000601","qualifier_name":"surgery","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000601","qualifier_name":"surgery","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000601","qualifier_name":"surgery","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012542","descriptor_name":"Scattering, Radiation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012542","descriptor_name":"Scattering, Radiation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012542","descriptor_name":"Scattering, Radiation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tbme.2016.2614137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2016.2614137","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:28113305","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28113305","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on bio-medical engineering","raw_type":null},{"id":"pmh:oai:HAL:hal-03891806v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03891806","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Biomedical Engineering, 2017, 64 (7), pp.1579-1591. ⟨10.1109/TBME.2016.2614137⟩","raw_type":"Journal articles"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G1823702001","display_name":null,"funder_award_id":"CA100183","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W141295082","https://openalex.org/W1508269127","https://openalex.org/W1824897917","https://openalex.org/W1869362176","https://openalex.org/W1977463706","https://openalex.org/W1977946246","https://openalex.org/W1982516529","https://openalex.org/W1987389174","https://openalex.org/W1999907661","https://openalex.org/W2029362727","https://openalex.org/W2031075283","https://openalex.org/W2031553285","https://openalex.org/W2036057364","https://openalex.org/W2041114474","https://openalex.org/W2043455337","https://openalex.org/W2045545335","https://openalex.org/W2047003318","https://openalex.org/W2056558326","https://openalex.org/W2061996796","https://openalex.org/W2066979538","https://openalex.org/W2090434216","https://openalex.org/W2095298018","https://openalex.org/W2096469096","https://openalex.org/W2097974676","https://openalex.org/W2103464444","https://openalex.org/W2104353571","https://openalex.org/W2110281611","https://openalex.org/W2115664739","https://openalex.org/W2116040950","https://openalex.org/W2118345904","https://openalex.org/W2119249988","https://openalex.org/W2122604407","https://openalex.org/W2122942014","https://openalex.org/W2130706954","https://openalex.org/W2132116135","https://openalex.org/W2133059825","https://openalex.org/W2137676365","https://openalex.org/W2139478903","https://openalex.org/W2142722911","https://openalex.org/W2149184914","https://openalex.org/W2154116060","https://openalex.org/W2155343350","https://openalex.org/W2157878716","https://openalex.org/W2158004511","https://openalex.org/W2158642611","https://openalex.org/W2162870748","https://openalex.org/W2163908383","https://openalex.org/W2164391318","https://openalex.org/W2165734775","https://openalex.org/W2171033594","https://openalex.org/W2543261561","https://openalex.org/W4213124581","https://openalex.org/W4235330052"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2121688719","https://openalex.org/W2727313114","https://openalex.org/W2016481886","https://openalex.org/W2038655545","https://openalex.org/W2055824452"],"abstract_inverted_index":{"OBJECTIVE:":[0],"To":[1],"detect":[2],"metastases":[3],"in":[4,32,81,203,229,240],"freshly":[5],"excised":[6],"human":[7],"lymph":[8],"nodes":[9],"(LNs)":[10],"using":[11,63,88],"three-dimensional":[12],"(3-D),":[13],"high-frequency,":[14],"quantitative":[15],"ultrasound":[16,40,105],"(QUS)":[17],"methods,":[18],"the":[19,35,57,71,82,110,114,127,137,163,194,212,224,230,233],"LN":[20,83],"parenchyma":[21],"(LNP)":[22],"must":[23],"be":[24,238],"segmented":[25,87],"to":[26,38,44,104,122,134,186,216],"preclude":[27],"QUS":[28],"analysis":[29],"of":[30,47,113,156,209,244],"data":[31,85,116],"regions":[33],"outside":[34],"LNP":[36,48],"and":[37,49,77,107,170,179,200,206,218],"compensate":[39],"attenuation":[41,106,217],"effects":[42,214],"due":[43,215],"overlying":[45],"layers":[46],"residual":[50],"perinodal":[51],"fat":[52],"(PNF).":[53],"METHODS:":[54],"After":[55],"restoring":[56],"saturated":[58],"radio-frequency":[59],"signals":[60],"from":[61,160,248],"PNF":[62],"an":[64],"approach":[65],"based":[66,197],"on":[67,149,198],"smoothing":[68],"cubic":[69],"splines,":[70],"three":[72],"regions,":[73],"i.e.,":[74],"LNP,":[75,168],"PNF,":[76,169],"normal":[78],"saline":[79],"(NS),":[80],"envelope":[84,115],"are":[86],"a":[89,153,241],"new,":[90],"automatic,":[91],"3-D,":[92],"three-phase,":[93],"statistical":[94],"transverseslice-based":[95],"level-set":[96],"(STS-LS)":[97],"method":[98,129,235],"that":[99],"amends":[100],"Lankton's":[101],"method.":[102],"Due":[103],"focusing":[108],"effects,":[109,126],"speckle":[111,138],"statistics":[112,139,202],"vary":[117],"with":[118],"imaged":[119],"depth.":[120],"Thus,":[121],"mitigate":[123],"depth-related":[124],"inhomogeneity":[125],"STS-LS":[128,192,234],"employs":[130],"gamma":[131],"probabilitydensity":[132],"functions":[133],"locally":[135],"model":[136],"within":[140],"consecutive":[141],"transverse":[142],"slices.":[143],"RESULTS:":[144],"Accurate":[145],"results":[146],"were":[147,172],"obtained":[148],"simulated":[150],"data.":[151],"On":[152],"representative":[154],"dataset":[155],"54":[157],"LNs":[158],"acquired":[159],"colorectal-cancer":[161],"patients,":[162],"Dice":[164],"similarity":[165],"coefficient":[166],"for":[167],"NS":[171],"0.938":[173],"\u00b1":[174,177,181],"0.025,":[175],"0.832":[176],"0.086,":[178],"0.968":[180],"0.008,":[182],"respectively,":[183],"when":[184],"compared":[185],"expert":[187],"manual":[188],"segmentation.":[189],"CONCLUSION:":[190],"The":[191],"outperforms":[193],"established":[195],"methods":[196],"global":[199],"local":[201],"our":[204],"datasets":[205],"is":[207],"capable":[208],"accurately":[210],"handling":[211],"depth-dependent":[213,249],"focusing.":[219],"SIGNIFICANCE:":[220],"This":[221],"advance":[222],"permits":[223],"automatic":[225],"QUS-based":[226],"cancer":[227],"detection":[228],"LNs.":[231],"Furthermore,":[232],"could":[236],"potentially":[237],"used":[239],"wide":[242],"range":[243],"ultrasound-imaging":[245],"applications":[246],"suffering":[247],"effects.":[250]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}