{"id":"https://openalex.org/W2169652214","doi":"https://doi.org/10.1109/isbi.2008.4540934","title":"Toward automatic zonal segmentation of prostate by combining a deformable model and a probabilistic framework","display_name":"Toward automatic zonal segmentation of prostate by combining a deformable model and a probabilistic framework","publication_year":2008,"publication_date":"2008-05-01","ids":{"openalex":"https://openalex.org/W2169652214","doi":"https://doi.org/10.1109/isbi.2008.4540934","mag":"2169652214"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2008.4540934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2008.4540934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},"type":"preprint","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/A5060027142","display_name":"N. Makni","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143894","display_name":"Laboratoire d'Automatique, G\u00e9nie Informatique et Signal","ror":"https://ror.org/04wez4p43","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I2279609970","https://openalex.org/I4210131494","https://openalex.org/I4210137101","https://openalex.org/I4210139971","https://openalex.org/I4210143894","https://openalex.org/I7454413"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"funder","lineage":["https://openalex.org/I154526488"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"N. Makni","raw_affiliation_strings":["Inserm, U703, ITM, France","LAGIS CNRS UMR 8146, USTL, France"],"affiliations":[{"raw_affiliation_string":"Inserm, U703, ITM, France","institution_ids":["https://openalex.org/I154526488"]},{"raw_affiliation_string":"LAGIS CNRS UMR 8146, USTL, France","institution_ids":["https://openalex.org/I4210143894","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089444602","display_name":"Philippe Puech","orcid":"https://orcid.org/0000-0003-0383-5137"},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"funder","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210090627","display_name":"Lille\u2019s Cardiology Hospital","ror":"https://ror.org/000z46s85","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I3018718406","https://openalex.org/I4210090627"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"P. Puech","raw_affiliation_strings":["Inserm, U703, ITM, France","Radiology Department, University Hospital, Lille, France"],"affiliations":[{"raw_affiliation_string":"Inserm, U703, ITM, France","institution_ids":["https://openalex.org/I154526488"]},{"raw_affiliation_string":"Radiology Department, University Hospital, Lille, France","institution_ids":["https://openalex.org/I4210090627"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034858486","display_name":"Renaud Lopes","orcid":"https://orcid.org/0000-0002-2425-2283"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210143894","display_name":"Laboratoire d'Automatique, G\u00e9nie Informatique et Signal","ror":"https://ror.org/04wez4p43","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I2279609970","https://openalex.org/I4210131494","https://openalex.org/I4210137101","https://openalex.org/I4210139971","https://openalex.org/I4210143894","https://openalex.org/I7454413"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"funder","lineage":["https://openalex.org/I154526488"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"R. Lopes","raw_affiliation_strings":["Inserm, U703, ITM, France","LAGIS CNRS UMR 8146, USTL, France"],"affiliations":[{"raw_affiliation_string":"Inserm, U703, ITM, France","institution_ids":["https://openalex.org/I154526488"]},{"raw_affiliation_string":"LAGIS CNRS UMR 8146, USTL, France","institution_ids":["https://openalex.org/I4210143894","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113611349","display_name":"A.S. Dewalle","orcid":null},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"funder","lineage":["https://openalex.org/I154526488"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A.S. Dewalle","raw_affiliation_strings":["Inserm, U703, ITM, France"],"affiliations":[{"raw_affiliation_string":"Inserm, U703, ITM, France","institution_ids":["https://openalex.org/I154526488"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041781993","display_name":"Olivier Colot","orcid":"https://orcid.org/0000-0003-1428-1678"},"institutions":[{"id":"https://openalex.org/I4210143894","display_name":"Laboratoire d'Automatique, G\u00e9nie Informatique et Signal","ror":"https://ror.org/04wez4p43","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I2279609970","https://openalex.org/I4210131494","https://openalex.org/I4210137101","https://openalex.org/I4210139971","https://openalex.org/I4210143894","https://openalex.org/I7454413"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"O. Colot","raw_affiliation_strings":["LAGIS CNRS UMR 8146, USTL, France"],"affiliations":[{"raw_affiliation_string":"LAGIS CNRS UMR 8146, USTL, France","institution_ids":["https://openalex.org/I4210143894","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078478531","display_name":"Nacim Betrouni","orcid":"https://orcid.org/0000-0003-1086-5502"},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"funder","lineage":["https://openalex.org/I154526488"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"N. Betrouni","raw_affiliation_strings":["Inserm, U703, ITM, France"],"affiliations":[{"raw_affiliation_string":"Inserm, U703, ITM, France","institution_ids":["https://openalex.org/I154526488"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5060027142"],"corresponding_institution_ids":["https://openalex.org/I4210143894","https://openalex.org/I1294671590","https://openalex.org/I154526488"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.17017578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"69","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9872999787330627,"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":0.9872999787330627,"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":0.9855999946594238,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9574999809265137,"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/computer-science","display_name":"Computer science","score":0.6455863118171692},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6087450981140137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5810758471488953},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5130575895309448},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.511314868927002},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5107293128967285},{"id":"https://openalex.org/keywords/prostate-gland","display_name":"Prostate gland","score":0.5102763175964355},{"id":"https://openalex.org/keywords/prostate","display_name":"Prostate","score":0.4603114128112793},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.4589034914970398},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40819334983825684},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3687792420387268},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2196948230266571},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.15211576223373413},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.12937003374099731}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6455863118171692},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6087450981140137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5810758471488953},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5130575895309448},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.511314868927002},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5107293128967285},{"id":"https://openalex.org/C2993530982","wikidata":"https://www.wikidata.org/wiki/Q9625","display_name":"Prostate gland","level":4,"score":0.5102763175964355},{"id":"https://openalex.org/C2776235491","wikidata":"https://www.wikidata.org/wiki/Q9625","display_name":"Prostate","level":3,"score":0.4603114128112793},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.4589034914970398},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40819334983825684},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3687792420387268},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2196948230266571},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.15211576223373413},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.12937003374099731},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2008.4540934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2008.4540934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1971227623","https://openalex.org/W1997063559","https://openalex.org/W2020999234","https://openalex.org/W2031994167","https://openalex.org/W2053890719","https://openalex.org/W2083391134","https://openalex.org/W2114220616","https://openalex.org/W2115021209","https://openalex.org/W2137063708","https://openalex.org/W2137227248","https://openalex.org/W2159793005","https://openalex.org/W2168154174"],"related_works":["https://openalex.org/W2394580736","https://openalex.org/W2979098291","https://openalex.org/W2366232922","https://openalex.org/W2403499346","https://openalex.org/W2414323715","https://openalex.org/W4243546994","https://openalex.org/W3208214262","https://openalex.org/W4376608698","https://openalex.org/W1991025101","https://openalex.org/W186887126"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"an":[3,59],"original":[4],"method":[5,96],"for":[6],"automatic":[7],"3D":[8],"segmentation":[9],"of":[10,47],"the":[11,45,115,120,125],"prostate":[12,102],"gland":[13,126],"from":[14,51],"Magnetic":[15],"Resonance":[16],"Imaging":[17],"data.":[18],"A":[19],"statistical":[20],"geometric":[21],"model":[22],"is":[23],"used":[24],"as":[25],"a":[26,35,128],"priori":[27],"knowledge.":[28],"Prostate":[29],"boundaries":[30],"are":[31],"then":[32],"optimized":[33],"by":[34,58],"Bayesian":[36],"classification":[37],"based":[38],"on":[39],"Markov":[40],"fields":[41],"modelling.":[42],"We":[43],"compared":[44],"accuracy":[46],"this":[48,94,110],"algorithm,":[49],"free":[50],"any":[52],"manual":[53],"correction,":[54],"with":[55,68],"contours":[56],"outlined":[57],"expert":[60],"radiologist.":[61],"In":[62],"3":[63],"random":[64],"cases,":[65],"including":[66],"prostates":[67],"cancer":[69],"and":[70,80,87,104,119],"benign":[71],"prostatic":[72],"hypertrophy":[73],"(BPH),":[74],"mean":[75],"Hausdorff":[76],"s":[77],"distance":[78],"(HD)":[79],"overlap":[81],"ration":[82],"(OR)":[83],"were":[84],"8.07":[85],"mm":[86],"0.82,":[88],"respectively.":[89],"Despite":[90],"fast":[91],"computing":[92],"times,":[93],"new":[95],"showed":[97],"satisfying":[98],"results,":[99],"even":[100],"at":[101],"base":[103],"apex.":[105],"Also,":[106],"we":[107],"believe":[108],"that":[109],"approach":[111],"may":[112],"allow":[113],"delineating":[114],"peripheral":[116],"zone":[117,122],"(PZ)":[118],"transition":[121],"(TZ)":[123],"within":[124],"in":[127],"near":[129],"future.":[130]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}