{"id":"https://openalex.org/W1982153337","doi":"https://doi.org/10.1109/titb.2012.2201731","title":"Prostate Cancer Localization Using Multiparametric MRI based on Semisupervised Techniques With Automated Seed Initialization","display_name":"Prostate Cancer Localization Using Multiparametric MRI based on Semisupervised Techniques With Automated Seed Initialization","publication_year":2012,"publication_date":"2012-05-30","ids":{"openalex":"https://openalex.org/W1982153337","doi":"https://doi.org/10.1109/titb.2012.2201731","mag":"1982153337","pmid":"https://pubmed.ncbi.nlm.nih.gov/22665512"},"language":"en","primary_location":{"id":"doi:10.1109/titb.2012.2201731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/titb.2012.2201731","pdf_url":null,"source":{"id":"https://openalex.org/S68937846","display_name":"IEEE Transactions on Information Technology in Biomedicine","issn_l":"1089-7771","issn":["1089-7771","1558-0032"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Technology in Biomedicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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":["Department of Electrical andComputer Engineering, Medical Imaging Research Center, Illinois Institute of Technology, Chicago, IL, USA","Dept of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical andComputer Engineering, Medical Imaging Research Center, Illinois Institute of Technology, Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]},{"raw_affiliation_string":"Dept of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]}]},{"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":["Department of Electrical andComputer Engineering, Medical Imaging Research Center, Illinois Institute of Technology, Chicago, IL, USA","Dept of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical andComputer Engineering, Medical Imaging Research Center, Illinois Institute of Technology, Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]},{"raw_affiliation_string":"Dept of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180949307"],"apc_list":null,"apc_paid":null,"fwci":2.7764,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.91227339,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"16","issue":"6","first_page":"1313","last_page":"1323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9965999722480774,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9965999722480774,"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":0.9957000017166138,"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/T10862","display_name":"AI in cancer detection","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/initialization","display_name":"Initialization","score":0.7112699747085571},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.684230625629425},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.683405876159668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6260433197021484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5869857668876648},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.508754551410675},{"id":"https://openalex.org/keywords/prostate-cancer","display_name":"Prostate cancer","score":0.5042127370834351},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4973655045032501},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4787556529045105},{"id":"https://openalex.org/keywords/multiparametric-mri","display_name":"Multiparametric MRI","score":0.4657464921474457},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.42910531163215637},{"id":"https://openalex.org/keywords/false-positive-rate","display_name":"False positive rate","score":0.4261455237865448},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.21955445408821106},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1453138291835785},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13203436136245728}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7112699747085571},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.684230625629425},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.683405876159668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6260433197021484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5869857668876648},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.508754551410675},{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.5042127370834351},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4973655045032501},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4787556529045105},{"id":"https://openalex.org/C2910607126","wikidata":"https://www.wikidata.org/wiki/Q48790829","display_name":"Multiparametric MRI","level":4,"score":0.4657464921474457},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.42910531163215637},{"id":"https://openalex.org/C95922358","wikidata":"https://www.wikidata.org/wiki/Q5432725","display_name":"False positive rate","level":2,"score":0.4261455237865448},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.21955445408821106},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1453138291835785},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13203436136245728},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/titb.2012.2201731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/titb.2012.2201731","pdf_url":null,"source":{"id":"https://openalex.org/S68937846","display_name":"IEEE Transactions on Information Technology in Biomedicine","issn_l":"1089-7771","issn":["1089-7771","1558-0032"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Technology in Biomedicine","raw_type":"journal-article"},{"id":"pmid:22665512","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22665512","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":"IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1538186882","https://openalex.org/W1590367972","https://openalex.org/W1597727245","https://openalex.org/W1613739536","https://openalex.org/W1963622760","https://openalex.org/W1983709701","https://openalex.org/W1992701865","https://openalex.org/W2012634455","https://openalex.org/W2035773017","https://openalex.org/W2036913456","https://openalex.org/W2046168168","https://openalex.org/W2072626310","https://openalex.org/W2074231721","https://openalex.org/W2076498536","https://openalex.org/W2092946690","https://openalex.org/W2100488793","https://openalex.org/W2104290444","https://openalex.org/W2107008379","https://openalex.org/W2108584285","https://openalex.org/W2110411550","https://openalex.org/W2124351162","https://openalex.org/W2125517551","https://openalex.org/W2125637308","https://openalex.org/W2133094593","https://openalex.org/W2134139970","https://openalex.org/W2134658932","https://openalex.org/W2138136995","https://openalex.org/W2149857113","https://openalex.org/W2157853947","https://openalex.org/W2158929692","https://openalex.org/W2161815277","https://openalex.org/W2163634187","https://openalex.org/W2169042894","https://openalex.org/W2323868208","https://openalex.org/W2482589566","https://openalex.org/W2997701990","https://openalex.org/W3016236341","https://openalex.org/W3144619878","https://openalex.org/W4285719527","https://openalex.org/W4293775970","https://openalex.org/W6635271169","https://openalex.org/W6635726302","https://openalex.org/W6669640393","https://openalex.org/W6675747103","https://openalex.org/W6676132248","https://openalex.org/W6678891797"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W3031039437","https://openalex.org/W183202219","https://openalex.org/W3095877357","https://openalex.org/W2072565696","https://openalex.org/W10861731","https://openalex.org/W2050451745"],"abstract_inverted_index":{"In":[0,89],"this":[1,90],"paper,":[2],"we":[3,92],"propose":[4],"a":[5,36,42,77,95,160,173,228],"novel":[6,96],"and":[7,31,69,107,179,222],"efficient":[8],"semisupervised":[9],"technique":[10,39],"for":[11],"automated":[12,51,119,134],"prostate":[13,56,167],"cancer":[14,57,168],"localization":[15],"using":[16,59,121],"multiparametric":[17,43,60,104,161],"magnetic":[18],"resonance":[19],"imaging":[20],"(MRI).":[21],"This":[22,217],"method":[23,132,158,171,218],"can":[24,100,113],"be":[25,67,101],"used":[26,102,202],"in":[27,71,84,117],"guiding":[28],"biopsy,":[29],"surgery,":[30],"therapy.":[32],"We":[33],"systematically":[34],"present":[35],"new":[37],"segmentation":[38,58,72,142],"by":[40,144,211,226],"developing":[41],"graph":[44],"based":[45,224],"random":[46],"walker":[47],"(RW)":[48],"algorithm":[49,63],"with":[50,103,133,151],"seed":[52,82,115,135],"initialization":[53,136],"to":[54,66,86,139,148,159,192,203],"perform":[55,87],"MRI.":[61],"RW":[62,97,131,221],"has":[64],"proved":[65],"accurate":[68],"fast":[70],"applications;":[73],"however":[74],"it":[75],"requires":[76],"set":[78],"of":[79,177,208],"(user":[80],"provided)":[81],"points":[83,116],"order":[85],"segmentation.":[88],"study,":[91],"first":[93],"developed":[94],"method,":[98],"which":[99],"MR":[105],"images":[106,150],"then":[108],"devised":[109],"alternative":[110],"methods":[111,225],"that":[112],"determine":[114],"an":[118],"manner":[120],"discriminative":[122,153],"classifiers":[123],"such":[124],"as":[125,185,187],"support":[126],"vector":[127],"machines":[128],"(SVM).":[129],"Proposed":[130,170],"is":[137,201],"able":[138],"produce":[140],"improved":[141],"results":[143,189,210],"assigning":[145],"more":[146,152],"weights":[147],"the":[149,156,194,205],"power.We":[154],"applied":[155],"proposed":[157],"dataset":[162],"obtained":[163],"from":[164],"biopsy":[165],"confirmed":[166],"patients.":[169],"produces":[172],"sensitivity/":[174],"specificity":[175,230],"rate":[176,231],"0.76":[178],"0.86,":[180],"respectively.":[181],"Both":[182],"visual,":[183],"quantitative":[184],"well":[186],"statistical":[188,206],"are":[190],"presented":[191],"show":[193],"significant":[195],"performance":[196],"improvements.":[197],"Fisher":[198],"sign":[199],"test":[200],"demonstrate":[204],"significance":[207],"our":[209],"achieving":[212,227],"p-values":[213],"less":[214],"than":[215],"0.05.":[216],"outperforms":[219],"available":[220],"SVM":[223],"high":[229],"while":[232],"not":[233],"reducing":[234],"sensitivity.":[235]},"counts_by_year":[{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}