{"id":"https://openalex.org/W2794350160","doi":"https://doi.org/10.1117/12.2293300","title":"Automatic slice segmentation of intraoperative transrectal ultrasound images using convolutional neural networks","display_name":"Automatic slice segmentation of intraoperative transrectal ultrasound images using convolutional neural networks","publication_year":2018,"publication_date":"2018-03-12","ids":{"openalex":"https://openalex.org/W2794350160","doi":"https://doi.org/10.1117/12.2293300","mag":"2794350160"},"language":"en","primary_location":{"id":"doi:10.1117/12.2293300","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2293300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/10047876/1/1057603.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103174033","display_name":"Nooshin Ghavami","orcid":"https://orcid.org/0000-0002-4310-1245"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Nooshin Ghavami","raw_affiliation_strings":["Univ. College London (United Kingdom)"],"affiliations":[{"raw_affiliation_string":"Univ. College London (United Kingdom)","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032309114","display_name":"Yipeng Hu","orcid":"https://orcid.org/0000-0003-4902-0486"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yipeng Hu","raw_affiliation_strings":["Univ. College London (United Kingdom)"],"affiliations":[{"raw_affiliation_string":"Univ. College London (United Kingdom)","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005663988","display_name":"Ester Bonmati","orcid":"https://orcid.org/0000-0001-9217-5438"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ester Bonmati","raw_affiliation_strings":["Univ. College London (United Kingdom)"],"affiliations":[{"raw_affiliation_string":"Univ. College London (United Kingdom)","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088330394","display_name":"Rachel Rodell","orcid":null},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rachel Rodell","raw_affiliation_strings":["Univ. College London (United Kingdom)"],"affiliations":[{"raw_affiliation_string":"Univ. College London (United Kingdom)","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025274219","display_name":"Eli Gibson","orcid":"https://orcid.org/0000-0001-9207-7280"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Eli D. Gibson","raw_affiliation_strings":["Univ. College London (United Kingdom)"],"affiliations":[{"raw_affiliation_string":"Univ. College London (United Kingdom)","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008343293","display_name":"Caroline M. Moore","orcid":"https://orcid.org/0000-0003-0202-7912"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]},{"id":"https://openalex.org/I1340918713","display_name":"University College London Hospitals NHS Foundation Trust","ror":"https://ror.org/042fqyp44","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I1340918713"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Caroline M. Moore","raw_affiliation_strings":["Univ. College London (United Kingdom)","Univ. College London Hospitals NHS Foundation Trust (United Kingdom)"],"affiliations":[{"raw_affiliation_string":"Univ. College London (United Kingdom)","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"Univ. College London Hospitals NHS Foundation Trust (United Kingdom)","institution_ids":["https://openalex.org/I1340918713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066703217","display_name":"Dean C. Barratt","orcid":"https://orcid.org/0000-0003-2916-655X"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dean C. Barratt","raw_affiliation_strings":["Univ. College London (United Kingdom)"],"affiliations":[{"raw_affiliation_string":"Univ. College London (United Kingdom)","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5103174033"],"corresponding_institution_ids":["https://openalex.org/I45129253"],"apc_list":null,"apc_paid":null,"fwci":2.7537,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.90543365,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10134","issue":null,"first_page":"2","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10124","display_name":"Prostate Cancer Diagnosis and Treatment","score":0.9951000213623047,"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"}},"topics":[{"id":"https://openalex.org/T10124","display_name":"Prostate Cancer Diagnosis and Treatment","score":0.9951000213623047,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9939000010490417,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9927999973297119,"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/segmentation","display_name":"Segmentation","score":0.6747256517410278},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6589044332504272},{"id":"https://openalex.org/keywords/prostate-biopsy","display_name":"Prostate biopsy","score":0.6051427125930786},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5914167761802673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5784544348716736},{"id":"https://openalex.org/keywords/prostate","display_name":"Prostate","score":0.5717514157295227},{"id":"https://openalex.org/keywords/prostate-cancer","display_name":"Prostate cancer","score":0.551427960395813},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.538068413734436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5261684656143188},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.5212948322296143},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5013818740844727},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.44107481837272644},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42490291595458984},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.13531509041786194}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6747256517410278},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6589044332504272},{"id":"https://openalex.org/C2781217009","wikidata":"https://www.wikidata.org/wiki/Q4086927","display_name":"Prostate biopsy","level":4,"score":0.6051427125930786},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5914167761802673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5784544348716736},{"id":"https://openalex.org/C2776235491","wikidata":"https://www.wikidata.org/wiki/Q9625","display_name":"Prostate","level":3,"score":0.5717514157295227},{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.551427960395813},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.538068413734436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5261684656143188},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.5212948322296143},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5013818740844727},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.44107481837272644},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42490291595458984},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.13531509041786194},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2293300","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2293300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10047876","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10047876/","pdf_url":"https://discovery.ucl.ac.uk/10047876/1/1057603.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In: Fei, B and Webster, RJ, (eds.) Proceedings Volume 10576, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling.  (pp. p. 1057603).  SPIE: Houston, Texas, United States. (2018)     ","raw_type":"Proceedings paper"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10047876","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10047876/","pdf_url":"https://discovery.ucl.ac.uk/10047876/1/1057603.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In: Fei, B and Webster, RJ, (eds.) Proceedings Volume 10576, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling.  (pp. p. 1057603).  SPIE: Houston, Texas, United States. (2018)     ","raw_type":"Proceedings paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2794350160.pdf","grobid_xml":"https://content.openalex.org/works/W2794350160.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1608700414","https://openalex.org/W1901129140","https://openalex.org/W1999671401","https://openalex.org/W2109292231","https://openalex.org/W2127890285","https://openalex.org/W2134491911","https://openalex.org/W2165952695","https://openalex.org/W2211483859","https://openalex.org/W2583914614","https://openalex.org/W2593431520","https://openalex.org/W2604946995","https://openalex.org/W3098221112","https://openalex.org/W6636525182","https://openalex.org/W6639824700","https://openalex.org/W6688219683","https://openalex.org/W6733344817","https://openalex.org/W6734524359","https://openalex.org/W6784516366"],"related_works":["https://openalex.org/W2566665866","https://openalex.org/W2358184952","https://openalex.org/W3115500073","https://openalex.org/W3096156950","https://openalex.org/W1606407388","https://openalex.org/W3197418554","https://openalex.org/W2353816345","https://openalex.org/W1725314107","https://openalex.org/W2974806603","https://openalex.org/W2032235093"],"abstract_inverted_index":{"This":[0],"paper,":[1,98],"originally":[2],"published":[3],"on":[4,14,55,61,72,126,150,157,199],"12":[5],"March":[6],"2018,":[7],"was":[8,124,140],"replaced":[9],"with":[10],"a":[11,101,127,163,172,182,205,210],"corrected/revised":[12],"version":[13],"1":[15],"June":[16],"2018.":[17],"If":[18],"you":[19],"downloaded":[20],"the":[21,29,70,158,200],"original":[22],"PDF":[23],"but":[24],"are":[25],"unable":[26],"to":[27,144,208],"access":[28],"revision,":[30],"please":[31],"contact":[32],"SPIE":[33],"Digital":[34],"Library":[35],"Customer":[36],"Service":[37],"for":[38,43,110,196],"assistance.":[39],"Clinically":[40],"important":[41,78],"targets":[42,60],"ultrasound-guided":[44],"prostate":[45,48,71,112,146,215],"biopsy":[46],"and":[47,118,154,181],"cancer":[49,216],"focal":[50],"therapy":[51],"can":[52],"be":[53],"defined":[54],"MRI.":[56],"However,":[57],"localizing":[58],"these":[59],"transrectal":[62],"ultrasound":[63],"(TRUS)":[64],"remains":[65],"challenging.":[66],"Automatic":[67],"segmentation":[68,113,147,186],"of":[69,130,179,188,213],"intraoperative":[73],"TRUS":[74,116,120,152],"images":[75,153],"is":[76],"an":[77],"step":[79],"towards":[80],"automating":[81],"most":[82],"MRI-TRUS":[83],"image":[84],"registration":[85],"workflows":[86],"so":[87],"that":[88],"they":[89],"become":[90],"more":[91],"acceptable":[92],"in":[93,114,148,155,162],"clinical":[94,128],"practice.":[95],"In":[96],"this":[97],"we":[99],"propose":[100],"deep":[102],"learning":[103],"method":[104,123,170],"using":[105],"convolutional":[106],"neural":[107],"networks":[108],"(CNNs)":[109],"automatic":[111],"2D":[115,149,174],"slices":[117],"3D":[119,156,197],"volumes.":[121],"The":[122,168],"evaluated":[125],"cohort":[129],"110":[131,160],"patients":[132],"who":[133],"underwent":[134],"TRUS-guided":[135,214],"targeted":[136],"biopsy.":[137],"Segmentation":[138],"accuracy":[139],"measured":[141],"by":[142],"comparison":[143],"manual":[145],"4055":[151],"corresponding":[159],"volumes,":[161],"10-fold":[164],"patient-level":[165],"cross":[166],"validation.":[167],"proposed":[169],"achieved":[171],"mean":[173,183],"Dice":[175,190],"score":[176],"coefficient":[177],"(DSC)":[178],"0.91±0.12":[180],"absolute":[184],"boundary":[185],"error":[187],"1.23±1.46mm.":[189],"scores":[191],"(0.91±0.04)":[192],"were":[193],"also":[194],"calculated":[195],"volumes":[198],"patient":[201],"level.":[202],"These":[203],"suggest":[204],"promising":[206],"approach":[207],"aid":[209],"wide":[211],"range":[212],"procedures":[217],"needing":[218],"multimodality":[219],"data":[220],"fusion.":[221]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}