{"id":"https://openalex.org/W2307235895","doi":"https://doi.org/10.1117/12.2216396","title":"3D transrectal ultrasound (TRUS) prostate segmentation based on optimal feature learning framework","display_name":"3D transrectal ultrasound (TRUS) prostate segmentation based on optimal feature learning framework","publication_year":2016,"publication_date":"2016-03-21","ids":{"openalex":"https://openalex.org/W2307235895","doi":"https://doi.org/10.1117/12.2216396","mag":"2307235895","pmid":"https://pubmed.ncbi.nlm.nih.gov/31467459"},"language":"en","primary_location":{"id":"doi:10.1117/12.2216396","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2216396","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6715140","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100619090","display_name":"Xiaofeng Yang","orcid":"https://orcid.org/0000-0001-9023-5855"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaofeng Yang","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101454375","display_name":"Peter J. Rossi","orcid":"https://orcid.org/0000-0003-1521-1225"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter J. Rossi","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112746616","display_name":"Ashesh B. Jani","orcid":null},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashesh B. Jani","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"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/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Mao","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026088869","display_name":"Walter J. Curran","orcid":"https://orcid.org/0000-0002-7552-4453"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walter J. Curran","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100365651","display_name":"Tian Liu","orcid":"https://orcid.org/0000-0002-4587-4399"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tian Liu","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150468666"],"apc_list":null,"apc_paid":null,"fwci":2.197,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.91689295,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"9784","issue":null,"first_page":"97842F","last_page":"97842F"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9948999881744385,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9796000123023987,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7411311268806458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7213417887687683},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.708317756652832},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6677702069282532},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.6116409301757812},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5835670232772827},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5643622875213623},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5261088013648987},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5072281360626221},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5059744715690613},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.505938708782196},{"id":"https://openalex.org/keywords/prostate","display_name":"Prostate","score":0.5013518333435059},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4749712646007538},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37110236287117004},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18558630347251892},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10212737321853638}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7411311268806458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7213417887687683},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.708317756652832},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6677702069282532},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6116409301757812},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5835670232772827},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5643622875213623},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5261088013648987},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5072281360626221},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5059744715690613},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.505938708782196},{"id":"https://openalex.org/C2776235491","wikidata":"https://www.wikidata.org/wiki/Q9625","display_name":"Prostate","level":3,"score":0.5013518333435059},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4749712646007538},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37110236287117004},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18558630347251892},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10212737321853638},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1117/12.2216396","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2216396","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},{"id":"pmid:31467459","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31467459","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":"Proceedings of SPIE--the International Society for Optical Engineering","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:6715140","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6715140","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc SPIE Int Soc Opt Eng","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:6715140","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6715140","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc SPIE Int Soc Opt Eng","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5202436969","display_name":null,"funder_award_id":"R01 CA215718","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"}],"funders":[{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1006446162","https://openalex.org/W1498489758","https://openalex.org/W1511224494","https://openalex.org/W1571849492","https://openalex.org/W1586002789","https://openalex.org/W1911215475","https://openalex.org/W1966326540","https://openalex.org/W1988626696","https://openalex.org/W2016302913","https://openalex.org/W2019209953","https://openalex.org/W2042730326","https://openalex.org/W2057300674","https://openalex.org/W2058973101","https://openalex.org/W2061379847","https://openalex.org/W2082214883","https://openalex.org/W2101054201","https://openalex.org/W2109292231","https://openalex.org/W2113576511","https://openalex.org/W2119249988","https://openalex.org/W2126763729","https://openalex.org/W2134491911","https://openalex.org/W2137013440","https://openalex.org/W2138451308","https://openalex.org/W2143090675","https://openalex.org/W2145179397","https://openalex.org/W2163273992","https://openalex.org/W2164829467","https://openalex.org/W2172011289","https://openalex.org/W2764597687","https://openalex.org/W2764668828","https://openalex.org/W2915543933","https://openalex.org/W6629802309","https://openalex.org/W6630620225","https://openalex.org/W6640104346","https://openalex.org/W6655060177","https://openalex.org/W6661221832","https://openalex.org/W6664783941","https://openalex.org/W6666099183","https://openalex.org/W6680265433","https://openalex.org/W6744914595","https://openalex.org/W6745526252"],"related_works":["https://openalex.org/W3027020613","https://openalex.org/W2016533837","https://openalex.org/W3167885074","https://openalex.org/W2892386716","https://openalex.org/W4306164210","https://openalex.org/W1998563493","https://openalex.org/W4313316311","https://openalex.org/W4362608745","https://openalex.org/W2383143032","https://openalex.org/W2148204638"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,76,109],"3D":[3],"prostate":[4,65,111],"segmentation":[5,71,112],"method":[6],"for":[7,33],"transrectal":[8],"ultrasound":[9],"(TRUS)":[10],"images,":[11],"which":[12],"is":[13],"based":[14,114],"on":[15,115],"patch-based":[16],"feature":[17,46,118],"learning":[18,119],"framework.":[19],"Patient-specific":[20],"anatomical":[21],"features":[22,41],"are":[23,42],"extracted":[24],"from":[25],"aligned":[26],"training":[27],"images":[28],"and":[29,39,125],"adopted":[30],"as":[31],"signatures":[32],"each":[34],"voxel.":[35],"The":[36,57,82,95],"most":[37],"robust":[38],"informative":[40],"identified":[43],"by":[44],"the":[45,51,64,67,90,116],"selection":[47],"process":[48],"to":[49,62],"train":[50],"kernel":[52],"support":[53],"vector":[54],"machine":[55],"(KSVM).":[56],"well-trained":[58],"SVM":[59],"was":[60,73,87,101],"used":[61],"localize":[63],"of":[66,79,84],"new":[68,110],"patient.":[69],"Our":[70],"technique":[72],"validated":[74,126],"with":[75,129],"clinical":[77,123],"study":[78],"10":[80],"patients.":[81],"accuracy":[83,128],"our":[85],"approach":[86,113],"assessed":[88],"using":[89],"manual":[91,130],"segmentations":[92],"(gold":[93],"standard).":[94],"mean":[96],"volume":[97],"Dice":[98],"overlap":[99],"coefficient":[100],"89.7%.":[102],"In":[103],"this":[104],"study,":[105],"we":[106],"have":[107],"developed":[108],"optimal":[117],"framework,":[120],"demonstrated":[121],"its":[122,127],"feasibility,":[124],"segmentations.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}