{"id":"https://openalex.org/W2249394494","doi":"https://doi.org/10.1109/fskd.2015.7382117","title":"Graph-based prostate extraction in T2-weighted images for prostate cancer detection","display_name":"Graph-based prostate extraction in T2-weighted images for prostate cancer detection","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2249394494","doi":"https://doi.org/10.1109/fskd.2015.7382117","mag":"2249394494"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2015.7382117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2015.7382117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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/A5009983487","display_name":"Weiwei Du","orcid":null},"institutions":[{"id":"https://openalex.org/I27429435","display_name":"Kyoto Institute of Technology","ror":"https://ror.org/00965ax52","country_code":"JP","type":"education","lineage":["https://openalex.org/I27429435"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Weiwei Du","raw_affiliation_strings":["Department of Information Science, Kyoto Institute of Technology, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information Science, Kyoto Institute of Technology, Kyoto, Japan","institution_ids":["https://openalex.org/I27429435"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074889400","display_name":"Shiyang Wang","orcid":"https://orcid.org/0000-0003-3561-3846"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shiyang Wang","raw_affiliation_strings":["Department of Radiology, The University of Chicago, Chicago, Illinois, U. S"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, The University of Chicago, Chicago, Illinois, U. S","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005934773","display_name":"Aytekin Oto","orcid":"https://orcid.org/0000-0003-4325-2489"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aytekin Oto","raw_affiliation_strings":["Department of Radiology, The University of Chicago, Chicago, Illinois, U. S"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, The University of Chicago, Chicago, Illinois, U. S","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089537405","display_name":"Yahui Peng","orcid":"https://orcid.org/0000-0002-2520-1170"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yahui Peng","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009983487"],"corresponding_institution_ids":["https://openalex.org/I27429435"],"apc_list":null,"apc_paid":null,"fwci":0.62620987,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76706134,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"22","issue":null,"first_page":"1225","last_page":"1229"},"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/T10862","display_name":"AI in cancer detection","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973999857902527,"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":0.6695619225502014},{"id":"https://openalex.org/keywords/prostate-cancer","display_name":"Prostate cancer","score":0.6202582120895386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6066431999206543},{"id":"https://openalex.org/keywords/prostate","display_name":"Prostate","score":0.604495108127594},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6031705737113953},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5092631578445435},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.42015182971954346},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4162028729915619},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34371164441108704},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27688679099082947},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.21856167912483215},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.12288922071456909}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6695619225502014},{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.6202582120895386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6066431999206543},{"id":"https://openalex.org/C2776235491","wikidata":"https://www.wikidata.org/wiki/Q9625","display_name":"Prostate","level":3,"score":0.604495108127594},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6031705737113953},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5092631578445435},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.42015182971954346},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4162028729915619},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34371164441108704},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27688679099082947},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.21856167912483215},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.12288922071456909},{"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/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2015.7382117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2015.7382117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1977096235","https://openalex.org/W1982153337","https://openalex.org/W2017830195","https://openalex.org/W2046168168","https://openalex.org/W2061553978","https://openalex.org/W2065875833","https://openalex.org/W2107030642","https://openalex.org/W2110411550","https://openalex.org/W2121947440","https://openalex.org/W2138136995","https://openalex.org/W2165874743","https://openalex.org/W2231156824","https://openalex.org/W2323868208"],"related_works":["https://openalex.org/W299695548","https://openalex.org/W2384122898","https://openalex.org/W151774199","https://openalex.org/W4281885123","https://openalex.org/W2345040638","https://openalex.org/W3171449477","https://openalex.org/W2088520467","https://openalex.org/W2075763133","https://openalex.org/W2376423713","https://openalex.org/W1583600832"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"our":[3],"ultimate":[4],"purpose":[5],"is":[6,40,62,84,123,137,146],"to":[7],"extract":[8],"a":[9,12,32,101,117],"prostate":[10,19,28,61,73,83,122,135,144],"from":[11,74,148],"T2-weighted":[13,76,98,150],"image":[14,39,52,57,77,79,99,151],"for":[15],"easily":[16],"detection":[17],"of":[18,26,43,50,66,108,134,142],"cancer.":[20],"Therefore,":[21],"we":[22],"present":[23],"an":[24,51],"algorithm":[25],"the":[27,47,72,75,87,97,106,109,121,127,130,140,143,149,153],"extraction":[29],"by":[30,78,100,113,129,139,152],"using":[31],"graph-based":[33,102,154],"unsupervised":[34,103,155],"and":[35,156],"semi-supervised":[36,118,131,157],"learning.":[37,119,132,158],"An":[38],"made":[41,64],"up":[42,65],"inhomogeneous":[44,67,92,114],"regions.":[45,68],"Only":[46],"homogeneous":[48],"region":[49],"can":[53],"be":[54],"segmented":[55],"in":[56,96,116],"processing":[58,80],"technologies.":[59,81],"The":[60,82],"also":[63],"We":[69],"cannot":[70],"segment":[71],"extracted":[85,124,147],"as":[86],"following":[88],"steps.":[89],"First,":[90],"entire":[91],"regions":[93,115],"are":[94,111],"detected":[95],"scheme.":[104],"Secondly,":[105],"placement":[107],"stokes":[110,128],"decided":[112],"Finally,":[120],"based":[125],"on":[126],"Detection":[133],"cancer":[136],"diagnosed":[138],"histogram":[141],"which":[145]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
