{"id":"https://openalex.org/W1968409849","doi":"https://doi.org/10.1109/embc.2014.6944221","title":"Improved mass detection in 3D automated breast ultrasound using region based features and multi-view information","display_name":"Improved mass detection in 3D automated breast ultrasound using region based features and multi-view information","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W1968409849","doi":"https://doi.org/10.1109/embc.2014.6944221","mag":"1968409849","pmid":"https://pubmed.ncbi.nlm.nih.gov/25570589"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2014.6944221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2014.6944221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-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/A5040190038","display_name":"Chuyang Ye","orcid":"https://orcid.org/0000-0001-5839-1559"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chuyang Ye","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA","Dept. of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112288363","display_name":"Vivek Vaidya","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142581","display_name":"General Electric (India)","ror":"https://ror.org/04dd9ss52","country_code":"IN","type":"company","lineage":["https://openalex.org/I1332737386","https://openalex.org/I4210142581"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vivek Vaidya","raw_affiliation_strings":["GE Global Research, Bangalore, India","GE Global Research, Bangalore, 560066, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GE Global Research, Bangalore, India","institution_ids":["https://openalex.org/I4210142581"]},{"raw_affiliation_string":"GE Global Research, Bangalore, 560066, India","institution_ids":["https://openalex.org/I4210142581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100329773","display_name":"Fei Zhao","orcid":"https://orcid.org/0000-0001-7055-7590"},"institutions":[{"id":"https://openalex.org/I1332737386","display_name":"General Electric (United States)","ror":"https://ror.org/013msgt25","country_code":"US","type":"company","lineage":["https://openalex.org/I1332737386"]},{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fei Zhao","raw_affiliation_strings":["GE Global Research, Niskayuna, USA","GE Global Research, Niskayuna, 12309, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GE Global Research, Niskayuna, USA","institution_ids":["https://openalex.org/I4210134512"]},{"raw_affiliation_string":"GE Global Research, Niskayuna, 12309, USA","institution_ids":["https://openalex.org/I1332737386"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2687,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84236887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2014","issue":null,"first_page":"2865","last_page":"2868"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":1.0,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9940000176429749,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.989300012588501,"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/computer-science","display_name":"Computer science","score":0.701324462890625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6942824125289917},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.6918878555297852},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.6479300856590271},{"id":"https://openalex.org/keywords/breast-ultrasound","display_name":"Breast ultrasound","score":0.6088986396789551},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.6024901270866394},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5561627745628357},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5342416167259216},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5198864936828613},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5196191668510437},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4942047894001007},{"id":"https://openalex.org/keywords/3d-ultrasound","display_name":"3D ultrasound","score":0.47001126408576965},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3422970771789551},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.2517698407173157},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.2402951419353485},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.230887770652771},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.15765374898910522},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15055492520332336}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.701324462890625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6942824125289917},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.6918878555297852},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6479300856590271},{"id":"https://openalex.org/C2777423100","wikidata":"https://www.wikidata.org/wiki/Q1888238","display_name":"Breast ultrasound","level":5,"score":0.6088986396789551},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6024901270866394},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5561627745628357},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5342416167259216},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5198864936828613},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5196191668510437},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4942047894001007},{"id":"https://openalex.org/C2780170424","wikidata":"https://www.wikidata.org/wiki/Q229399","display_name":"3D ultrasound","level":3,"score":0.47001126408576965},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3422970771789551},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.2517698407173157},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.2402951419353485},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.230887770652771},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.15765374898910522},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15055492520332336},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016217","descriptor_name":"Ultrasonography, Mammary","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016217","descriptor_name":"Ultrasonography, Mammary","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016217","descriptor_name":"Ultrasonography, Mammary","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D058996","descriptor_name":"Quality Improvement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058996","descriptor_name":"Quality Improvement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058996","descriptor_name":"Quality Improvement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2014.6944221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2014.6944221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},{"id":"pmid:25570589","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25570589","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1988819287","https://openalex.org/W1989583077","https://openalex.org/W1991829556","https://openalex.org/W2009629689","https://openalex.org/W2044465660","https://openalex.org/W2084922904","https://openalex.org/W2085441165","https://openalex.org/W2104999075","https://openalex.org/W2108149355","https://openalex.org/W2123139184","https://openalex.org/W2153172662","https://openalex.org/W2153635508","https://openalex.org/W2220945839","https://openalex.org/W2911964244","https://openalex.org/W3211330693","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W2126100045","https://openalex.org/W2345184372","https://openalex.org/W2124109643","https://openalex.org/W2187500075","https://openalex.org/W2336974148","https://openalex.org/W2381773606","https://openalex.org/W2753174232","https://openalex.org/W2145231349","https://openalex.org/W4206076898","https://openalex.org/W2077820933"],"abstract_inverted_index":{"Breast":[0],"cancer":[1,9,17],"is":[2,18],"one":[3],"of":[4,8,15,27,47,159],"the":[5,48,79,92,180],"leading":[6],"causes":[7],"death":[10],"for":[11,20,39,152],"women.":[12],"Early":[13],"detection":[14,59,63,93],"breast":[16,32,57,133,148,193],"crucial":[19],"reducing":[21,40],"mortality":[22],"rates":[23],"and":[24,43,70,118,162,168],"improving":[25,61],"prognosis":[26],"patients.":[28],"Recently,":[29],"3D":[30,45,67,74,100,143,192],"automated":[31],"ultrasound":[33],"(ABUS)":[34],"has":[35],"gained":[36],"increasing":[37],"attentions":[38],"subjectivity,":[41],"operator-dependence,":[42],"providing":[44],"context":[46],"whole":[49],"breast.":[50],"In":[51],"this":[52],"work,":[53],"we":[54],"propose":[55],"a":[56],"mass":[58,81,101,194],"algorithm":[60],"voxel-based":[62,85],"results":[64,94,176],"by":[65,84],"incorporating":[66],"region-based":[68,116],"features":[69],"multi-view":[71,119,181],"information":[72,182],"in":[73,103,187,191],"ABUS":[75,144],"images.":[76],"Based":[77],"on":[78],"candidate":[80,130],"regions":[82,131],"produced":[83],"method,":[86],"our":[87],"proposed":[88,155],"approach":[89,156],"further":[90],"improves":[91],"with":[95,108,146,164],"three":[96],"major":[97],"steps:":[98],"1)":[99],"segmentation":[102],"geodesic":[104],"active":[105],"contours":[106],"framework":[107],"edge":[109],"points":[110],"obtained":[111],"from":[112],"directional":[113],"searching;":[114],"2)":[115],"single-view":[117],"feature":[120],"extraction;":[121],"3)":[122],"support":[123],"vector":[124],"machine":[125],"(SVM)":[126],"classification":[127],"to":[128],"discriminate":[129],"as":[132],"masses":[134,149],"or":[135],"normal":[136],"background":[137],"tissues.":[138],"22":[139],"patients":[140],"including":[141],"51":[142],"volumes":[145],"44":[147],"were":[150],"used":[151],"evaluation.":[153],"The":[154,175],"reached":[157],"sensitivities":[158],"95%,":[160],"90%,":[161],"70%":[163],"averaged":[165],"4.3,":[166],"3.8,":[167],"1.6":[169],"false":[170,188],"positives":[171],"per":[172],"volume,":[173],"respectively.":[174],"also":[177],"indicate":[178],"that":[179],"plays":[183],"an":[184],"important":[185],"role":[186],"positive":[189],"reduction":[190],"detection.":[195]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}