{"id":"https://openalex.org/W2139051598","doi":"https://doi.org/10.1109/isbi.2011.5872675","title":"Graph-based active contours using shape priors for prostate segmentation with MRI","display_name":"Graph-based active contours using shape priors for prostate segmentation with MRI","publication_year":2011,"publication_date":"2011-03-01","ids":{"openalex":"https://openalex.org/W2139051598","doi":"https://doi.org/10.1109/isbi.2011.5872675","mag":"2139051598"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2011.5872675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2011.5872675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},"type":"article","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/A5038884712","display_name":"Yusuf Artan","orcid":null},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yusuf Artan","raw_affiliation_strings":["Medical Imaging Research Center, Illinois Institute of Technology, Chicago, IL, USA","Medical Imaging Research Center, Illinois Institute of Technology, Chicago, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Imaging Research Center, Illinois Institute of Technology, Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]},{"raw_affiliation_string":"Medical Imaging Research Center, Illinois Institute of Technology, Chicago, USA","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109392994","display_name":"Masoom A. Haider","orcid":"https://orcid.org/0000-0002-7165-8315"},"institutions":[{"id":"https://openalex.org/I1291836623","display_name":"Mount Sinai Hospital","ror":"https://ror.org/05deks119","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1291836623","https://openalex.org/I4210130843"]},{"id":"https://openalex.org/I1325899441","display_name":"University Health Network","ror":"https://ror.org/042xt5161","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1325899441"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Masoom A. Haider","raw_affiliation_strings":["Joint Department of Medical Imaging, University Health Network, Toronto, ONT, Canada","Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital, Toronto, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Joint Department of Medical Imaging, University Health Network, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I1325899441"]},{"raw_affiliation_string":"Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I1291836623","https://openalex.org/I1325899441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051537993","display_name":"\u0130mam \u015eamil Yetik","orcid":"https://orcid.org/0000-0002-7330-4692"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Imam Samil Yetik","raw_affiliation_strings":["Medical Imaging Research Center, Illinois Institute of Technology, Chicago, IL, USA","Medical Imaging Research Center, Illinois Institute of Technology, Chicago, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Imaging Research Center, Illinois Institute of Technology, Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]},{"raw_affiliation_string":"Medical Imaging Research Center, Illinois Institute of Technology, Chicago, USA","institution_ids":["https://openalex.org/I180949307"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7851,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76979545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"1459","last_page":"1462"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9879999756813049,"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":0.7386184334754944},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6790446639060974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6384071707725525},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5979453921318054},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5879082083702087},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5635625720024109},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.5616318583488464},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5355666875839233},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.4634881317615509},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4481312036514282},{"id":"https://openalex.org/keywords/prostate-biopsy","display_name":"Prostate biopsy","score":0.43415507674217224},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.43161740899086},{"id":"https://openalex.org/keywords/prostate","display_name":"Prostate","score":0.3785627484321594},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3594719469547272},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.114321768283844},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.10527437925338745},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10506275296211243},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.08633089065551758},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.0849628746509552}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7386184334754944},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6790446639060974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6384071707725525},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5979453921318054},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5879082083702087},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5635625720024109},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.5616318583488464},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5355666875839233},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.4634881317615509},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4481312036514282},{"id":"https://openalex.org/C2781217009","wikidata":"https://www.wikidata.org/wiki/Q4086927","display_name":"Prostate biopsy","level":4,"score":0.43415507674217224},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.43161740899086},{"id":"https://openalex.org/C2776235491","wikidata":"https://www.wikidata.org/wiki/Q9625","display_name":"Prostate","level":3,"score":0.3785627484321594},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3594719469547272},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.114321768283844},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.10527437925338745},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10506275296211243},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.08633089065551758},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0849628746509552},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2011.5872675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2011.5872675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 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":0.4399999976158142,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1582843352","https://openalex.org/W2044049005","https://openalex.org/W2052617496","https://openalex.org/W2052636906","https://openalex.org/W2061553978","https://openalex.org/W2119300483","https://openalex.org/W2125637308","https://openalex.org/W2142425892","https://openalex.org/W2144585946","https://openalex.org/W2145803225","https://openalex.org/W2147484997","https://openalex.org/W2153963165","https://openalex.org/W2160754664","https://openalex.org/W2167338900","https://openalex.org/W2169527406"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W3122088529","https://openalex.org/W3041320102","https://openalex.org/W2111669074","https://openalex.org/W2085259108","https://openalex.org/W3123087812","https://openalex.org/W1991088333"],"abstract_inverted_index":{"Prostate":[0],"segmentation":[1,58,69],"based":[2,55],"on":[3,85],"magnetic":[4,107,130],"resonance":[5,108,131],"images":[6,170],"is":[7,29],"a":[8,25,38,63,105,156,172],"challenging":[9],"and":[10,22,46,183],"important":[11],"task":[12,41],"in":[13,127,159],"medical":[14,72],"imaging":[15,73],"with":[16],"applications":[17],"of":[18,49,78,88,179],"guiding":[19],"biopsy,":[20],"surgery":[21],"therapy.":[23],"While":[24],"fully":[26,67],"automated":[27,68],"method":[28,182],"highly":[30],"desired":[31],"for":[32,70,119],"this":[33,92],"application,":[34],"it":[35,185],"can":[36],"be":[37],"very":[39],"difficult":[40],"due":[42],"to":[43,66,96,101,143,150,186],"the":[44,50,86,177,180,189],"structure":[45],"surrounding":[47],"tissues":[48],"prostate":[51,103,162,168],"gland.":[52],"Recently,":[53],"graph":[54],"interactive":[56],"(semi-automatic)":[57],"methods":[59],"have":[60],"emerged":[61],"as":[62],"useful":[64],"substitute":[65],"many":[71],"tasks.":[74],"A":[75],"small":[76],"amount":[77],"user":[79],"input":[80],"often":[81],"resolves":[82],"ambiguous":[83],"decisions":[84],"part":[87],"these":[89,152],"algorithms.":[90],"In":[91,148],"study,":[93],"we":[94,154,175],"propose":[95],"use":[97],"graph-based":[98,112,161],"active":[99,113],"contours":[100,114],"segment":[102],"from":[104,171],"given":[106],"image":[109,132],"(MRI).":[110],"Traditional":[111],"are":[115],"typically":[116],"quite":[117],"successful":[118],"piecewise":[120],"constant":[121],"images,":[122],"but":[123],"they":[124],"may":[125],"fail":[126],"cases":[128],"where":[129],"has":[133],"diffuse":[134],"edges,":[135],"or":[136],"multiple":[137],"similar":[138],"objects":[139],"(e.g.,":[140],"bladder":[141],"close":[142,146],"prostate)":[144],"within":[145],"proximity.":[147],"order":[149],"mitigate":[151],"problems,":[153],"incorporate":[155],"shape":[157,190],"prior":[158],"our":[160],"extraction":[163],"scheme.":[164],"Using":[165],"real":[166],"world":[167],"MR":[169],"well-known":[173],"database,":[174],"show":[176],"effectiveness":[178],"proposed":[181],"compare":[184],"results":[187],"without":[188],"prior.":[191]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
