{"id":"https://openalex.org/W4390971311","doi":"https://doi.org/10.1109/bibm58861.2023.10385872","title":"Interactive Ultrasound Prostate Cancer Segmentation using Deep Learning with Principal Curve-based Fine-tuning","display_name":"Interactive Ultrasound Prostate Cancer Segmentation using Deep Learning with Principal Curve-based Fine-tuning","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390971311","doi":"https://doi.org/10.1109/bibm58861.2023.10385872"},"language":"en","primary_location":{"id":"doi:10.1109/bibm58861.2023.10385872","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10385872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5005022182","display_name":"Tao Peng","orcid":"https://orcid.org/0000-0003-0848-7901"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]},{"id":"https://openalex.org/I4210096815","display_name":"Southwestern Medical Center","ror":"https://ror.org/00t9vx427","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210096815"]},{"id":"https://openalex.org/I4388891891","display_name":"Southwestern Medical Center","ror":"https://ror.org/05d80e146","country_code":null,"type":"healthcare","lineage":["https://openalex.org/I4388891891"]},{"id":"https://openalex.org/I867280407","display_name":"The University of Texas Southwestern Medical Center","ror":"https://ror.org/05byvp690","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I867280407"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Tao Peng","raw_affiliation_strings":["Soochow University,School of Future Science and Engineering,Suzhou,China","Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA","School of Future Science and Engineering, Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow University,School of Future Science and Engineering,Suzhou,China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA","institution_ids":["https://openalex.org/I867280407","https://openalex.org/I4210096815","https://openalex.org/I4388891891"]},{"raw_affiliation_string":"School of Future Science and Engineering, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023899500","display_name":"Caishan Wang","orcid":"https://orcid.org/0000-0001-9527-3201"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]},{"id":"https://openalex.org/I4210124971","display_name":"Second Affiliated Hospital of Soochow University","ror":"https://ror.org/02xjrkt08","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caishan Wang","raw_affiliation_strings":["Second Affiliated Hospital of Soochow University,Department of Ultrasound,Suzhou,China","Department of Ultrasound, Second Affiliated Hospital of Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Second Affiliated Hospital of Soochow University,Department of Ultrasound,Suzhou,China","institution_ids":["https://openalex.org/I3923682","https://openalex.org/I4210124971"]},{"raw_affiliation_string":"Department of Ultrasound, Second Affiliated Hospital of Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682","https://openalex.org/I4210124971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079973786","display_name":"Ting Hu","orcid":"https://orcid.org/0009-0006-8951-6733"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]},{"id":"https://openalex.org/I4210153519","display_name":"First Affiliated Hospital of Soochow University","ror":"https://ror.org/051jg5p78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210153519"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Hu","raw_affiliation_strings":["The First Affiliated Hospital of Soochow University,Department of Obstetrics and Gynaecology Ultrasonography,Suzhou,China","Department of Obstetrics and Gynaecology Ultrasonography, The First Affiliated Hospital of Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital of Soochow University,Department of Obstetrics and Gynaecology Ultrasonography,Suzhou,China","institution_ids":["https://openalex.org/I3923682","https://openalex.org/I4210153519"]},{"raw_affiliation_string":"Department of Obstetrics and Gynaecology Ultrasonography, The First Affiliated Hospital of Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682","https://openalex.org/I4210153519"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068714594","display_name":"Hui Mao","orcid":"https://orcid.org/0000-0002-0147-6022"},"institutions":[{"id":"https://openalex.org/I4210161227","display_name":"Huangshi Central Hospital","ror":"https://ror.org/05ncqj764","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210161227"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Mao","raw_affiliation_strings":["Huangshi Central Hospital,Department of Dermatology,Hubei,China","Department of Dermatology, Huangshi Central Hospital, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huangshi Central Hospital,Department of Dermatology,Hubei,China","institution_ids":["https://openalex.org/I4210161227"]},{"raw_affiliation_string":"Department of Dermatology, Huangshi Central Hospital, Hubei, China","institution_ids":["https://openalex.org/I4210161227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048876844","display_name":"Gongye Di","orcid":null},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]},{"id":"https://openalex.org/I4210122818","display_name":"Taizhou People's Hospital","ror":"https://ror.org/02fvevm64","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210122818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gongye Di","raw_affiliation_strings":["Medical University,Taizhou People’s Hospital Affiliated to Nanjing,Department of Ultrasonic,Taizhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical University,Taizhou People’s Hospital Affiliated to Nanjing,Department of Ultrasonic,Taizhou,China","institution_ids":["https://openalex.org/I4210122818","https://openalex.org/I199305430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027679708","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0001-5622-0449"},"institutions":[{"id":"https://openalex.org/I4210159968","display_name":"Duke Kunshan University","ror":"https://ror.org/04sr5ys16","country_code":"CN","type":"education","lineage":["https://openalex.org/I170897317","https://openalex.org/I37461747","https://openalex.org/I4210159968"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Duke Kunshan University,Graduate Program of Medical Physics and Data Science Research Center,Kunshan,China","Graduate Program of Medical Physics and Data Science Research Center, Duke Kunshan University, Kunshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke Kunshan University,Graduate Program of Medical Physics and Data Science Research Center,Kunshan,China","institution_ids":["https://openalex.org/I4210159968"]},{"raw_affiliation_string":"Graduate Program of Medical Physics and Data Science Research Center, Duke Kunshan University, Kunshan, China","institution_ids":["https://openalex.org/I4210159968"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1123,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44649442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2165","last_page":"2168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9973999857902527,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9973000288009644,"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"}},{"id":"https://openalex.org/T10124","display_name":"Prostate Cancer Diagnosis and Treatment","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7913709282875061},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7508467435836792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7426758408546448},{"id":"https://openalex.org/keywords/polygon","display_name":"Polygon (computer graphics)","score":0.5942825078964233},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.5690494775772095},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5628810524940491},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5577316880226135},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.501288890838623},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4670264720916748},{"id":"https://openalex.org/keywords/curve-fitting","display_name":"Curve fitting","score":0.4404911398887634},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.4380561411380768},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4108726382255554},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13620862364768982}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7913709282875061},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7508467435836792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7426758408546448},{"id":"https://openalex.org/C190694206","wikidata":"https://www.wikidata.org/wiki/Q3276654","display_name":"Polygon (computer graphics)","level":3,"score":0.5942825078964233},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.5690494775772095},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5628810524940491},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5577316880226135},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.501288890838623},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4670264720916748},{"id":"https://openalex.org/C184389593","wikidata":"https://www.wikidata.org/wiki/Q603159","display_name":"Curve fitting","level":2,"score":0.4404911398887634},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.4380561411380768},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4108726382255554},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13620862364768982},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm58861.2023.10385872","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10385872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2044789149","https://openalex.org/W2088246367","https://openalex.org/W2167059107","https://openalex.org/W2612690371","https://openalex.org/W2798122215","https://openalex.org/W2964334073","https://openalex.org/W3037553776","https://openalex.org/W3204614423","https://openalex.org/W4214899963","https://openalex.org/W4214903080","https://openalex.org/W4220697236","https://openalex.org/W4220966648","https://openalex.org/W4386278706","https://openalex.org/W4386318102","https://openalex.org/W6739901393","https://openalex.org/W6750469568"],"related_works":["https://openalex.org/W2387003628","https://openalex.org/W123102278","https://openalex.org/W2081609930","https://openalex.org/W2365596436","https://openalex.org/W163453029","https://openalex.org/W4210537690","https://openalex.org/W2885157826","https://openalex.org/W1979702773","https://openalex.org/W2159463658","https://openalex.org/W2051067977"],"abstract_inverted_index":{"Segmentation":[0,139],"of":[1,11,18,30,37,63,100],"prostate":[2,44],"cancer":[3,45],"on":[4,46],"ultrasound":[5],"(US)":[6],"images":[7],"is":[8,35,89,132],"challenging":[9],"because":[10],"the":[12,16,24,28,38,61,64,73,77,98,107,136],"low-intensity":[13],"contrast":[14],"around":[15],"region":[17],"interest":[19],"(ROI)":[20],"contour":[21],"caused":[22],"by":[23,91],"intestinal":[25],"gas.":[26],"To":[27],"best":[29],"our":[31,33,101,143],"knowledge,":[32],"work":[34],"one":[36],"extremely":[39],"rare":[40],"groups":[41],"to":[42,71,134],"segment":[43],"US":[47],"images,":[48],"which":[49],"designs":[50],"a":[51,83],"coarse-to-refinement":[52],"segmentation":[53,149],"framework":[54],"with":[55],"four":[56],"merits:":[57],"1)":[58],"it":[59],"fuses":[60],"advantages":[62],"deep":[65],"learning-":[66],"and":[67,75,121],"principal":[68,84],"curve-based":[69,85],"algorithms":[70],"locate":[72],"ROI":[74,137],"fit":[76],"data":[78],"center":[79],"automatically,":[80],"respectively;":[81],"2)":[82],"polygon":[86],"searching":[87],"method":[88,102],"designed":[90],"newly":[92,116],"adding":[93,117],"some":[94],"constraints":[95],"so":[96],"that":[97,142],"performance":[99],"could":[103],"be":[104],"enhanced;":[105],"3)":[106],"quantum":[108],"characteristics":[109],"are":[110],"added":[111],"into":[112],"evolution":[113],"network,":[114],"while":[115],"numerous-":[118],"operator":[119],"scheme":[120],"global":[122],"optimum":[123],"search":[124],"schemes;":[125],"4)":[126],"an":[127],"interpretable":[128],"mathematical":[129],"mapping":[130],"model":[131],"developed":[133],"denote":[135],"contour.":[138],"results":[140],"show":[141],"network":[144],"outperforms":[145],"other":[146],"medical":[147],"image":[148],"models.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}