{"id":"https://openalex.org/W2315429304","doi":"https://doi.org/10.1109/biocas.2014.6981659","title":"Automatic prostate segmentation from transrectal ultrasound images","display_name":"Automatic prostate segmentation from transrectal ultrasound images","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2315429304","doi":"https://doi.org/10.1109/biocas.2014.6981659","mag":"2315429304"},"language":"en","primary_location":{"id":"doi:10.1109/biocas.2014.6981659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2014.6981659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","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/A5113544359","display_name":"Yanyan Yu","orcid":"https://orcid.org/0000-0002-7366-5826"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yanyan Yu","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086362263","display_name":"Jieyu Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jieyu Cheng","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031380605","display_name":"Jizhou Li","orcid":"https://orcid.org/0000-0002-7399-1349"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jizhou Li","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Kowloon, HK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Kowloon, HK","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021656787","display_name":"Weifu Chen","orcid":"https://orcid.org/0000-0002-9375-2214"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Weifu Chen","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051126889","display_name":"Bernard Chiu","orcid":"https://orcid.org/0000-0001-5237-2410"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Bernard Chiu","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"117","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9916999936103821,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6771949529647827},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6535422801971436},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5850953459739685},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5599055886268616},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.548997700214386},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5225298404693604},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5104948282241821},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.4107202887535095}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6771949529647827},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6535422801971436},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5850953459739685},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5599055886268616},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.548997700214386},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5225298404693604},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5104948282241821},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.4107202887535095},{"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/biocas.2014.6981659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2014.6981659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","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":13,"referenced_works":["https://openalex.org/W1981989535","https://openalex.org/W1992244451","https://openalex.org/W2009131885","https://openalex.org/W2019209953","https://openalex.org/W2058792971","https://openalex.org/W2059565257","https://openalex.org/W2082214883","https://openalex.org/W2116040950","https://openalex.org/W2125070825","https://openalex.org/W2151527409","https://openalex.org/W2155343350","https://openalex.org/W4214540058","https://openalex.org/W6655060177"],"related_works":["https://openalex.org/W1522196789","https://openalex.org/W2102683994","https://openalex.org/W2063813108","https://openalex.org/W2373659438","https://openalex.org/W2162755489","https://openalex.org/W2006136340","https://openalex.org/W1879755808","https://openalex.org/W2072057318","https://openalex.org/W2164781768","https://openalex.org/W744483630"],"abstract_inverted_index":{"In":[0],"this":[1,50],"paper,":[2],"a":[3,31,62],"fully":[4],"automatic":[5],"slice-based":[6],"3D":[7],"segmentation":[8],"method":[9],"is":[10,92,141],"proposed":[11,118,134],"to":[12,69,94],"segment":[13],"the":[14,17,45,57,71,75,86,95,103,117,129,133,137],"sequence":[15],"of":[16,30,33],"TRUS":[18],"prostate":[19,47,109],"images.":[20],"The":[21,122],"initial":[22,28,42,46,72,90,99],"contour":[23,73,88,100,130,140],"was":[24,67],"generated":[25,80],"on":[26,49,56,89],"an":[27],"frame":[29,43,51,91],"stack":[32],"2D":[34],"ultrasound":[35],"images":[36,110],"acquired":[37],"for":[38,120],"each":[39],"subject.":[40],"This":[41],"and":[44,77,136],"boundary":[48],"were":[52,114],"automatically":[53],"determined":[54],"based":[55],"radial":[58],"bas-relief":[59],"method.":[60],"Then":[61],"region-based":[63],"level":[64],"set":[65],"framework":[66],"applied":[68],"deform":[70],"using":[74,81,116,132],"approximate":[76],"detailed":[78],"coefficients":[79],"dyadic":[82],"wavelet":[83],"transform.":[84],"Finally,":[85],"segmented":[87,115,131],"propagated":[93],"adjacent":[96],"frames":[97,104],"as":[98],"until":[101],"all":[102],"are":[105],"segmented.":[106],"50":[107],"transverse":[108],"from":[111],"three":[112],"patients":[113],"algorithm":[119,135],"validation.":[121],"average":[123],"mean":[124],"absolute":[125],"difference":[126],"(MAD)":[127],"between":[128],"manually":[138],"outlined":[139],"less":[142],"than":[143],"5":[144],"pixels.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}