{"id":"https://openalex.org/W2265283641","doi":"https://doi.org/10.1587/transinf.2015edp7083","title":"Multi-Feature Guided Brain Tumor Segmentation Based on Magnetic Resonance Images","display_name":"Multi-Feature Guided Brain Tumor Segmentation Based on Magnetic Resonance Images","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2265283641","doi":"https://doi.org/10.1587/transinf.2015edp7083","mag":"2265283641"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2015edp7083","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2015edp7083","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E98.D/12/E98.D_2015EDP7083/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E98.D/12/E98.D_2015EDP7083/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000856686","display_name":"Ye Ai","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ye AI","raw_affiliation_strings":["Shenzhen Key Lab. of Information Science & Technology, Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Lab. of Information Science & Technology, Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026307166","display_name":"Feng Miao","orcid":"https://orcid.org/0000-0002-4415-9174"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng MIAO","raw_affiliation_strings":["Shenzhen Key Lab. of Information Science & Technology, Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Lab. of Information Science & Technology, Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058927487","display_name":"Qingmao Hu","orcid":"https://orcid.org/0000-0002-2465-0556"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingmao HU","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100444148","display_name":"Weifeng Li","orcid":"https://orcid.org/0000-0002-1410-8966"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifeng LI","raw_affiliation_strings":["Shenzhen Key Lab. of Information Science & Technology, Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Lab. of Information Science & Technology, Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000856686"],"corresponding_institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13344221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"E98.D","issue":"12","first_page":"2250","last_page":"2256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9923999905586243,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.8056737184524536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7232493162155151},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6761466264724731},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6435859203338623},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.632605791091919},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6022831797599792},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.5854907035827637},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47117167711257935},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.4363696575164795},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41210588812828064},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18780642747879028}],"concepts":[{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.8056737184524536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7232493162155151},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6761466264724731},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6435859203338623},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.632605791091919},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6022831797599792},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.5854907035827637},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47117167711257935},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.4363696575164795},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41210588812828064},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18780642747879028},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2015edp7083","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2015edp7083","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E98.D/12/E98.D_2015EDP7083/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2015edp7083","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2015edp7083","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E98.D/12/E98.D_2015EDP7083/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1477544716","display_name":null,"funder_award_id":"Guangdong","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1556721423","display_name":null,"funder_award_id":"61272328","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1702161777","display_name":null,"funder_award_id":"U1201257","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2265283641.pdf","grobid_xml":"https://content.openalex.org/works/W2265283641.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W35525326","https://openalex.org/W1907897951","https://openalex.org/W1995877745","https://openalex.org/W1996644000","https://openalex.org/W2005942928","https://openalex.org/W2037316890","https://openalex.org/W2061466173","https://openalex.org/W2098982273","https://openalex.org/W2101309634","https://openalex.org/W2113137767","https://openalex.org/W2123498585","https://openalex.org/W2143516773","https://openalex.org/W2996164096"],"related_works":["https://openalex.org/W115686965","https://openalex.org/W1555939286","https://openalex.org/W2109407305","https://openalex.org/W2032319136","https://openalex.org/W2897997384","https://openalex.org/W2088651901","https://openalex.org/W1544828638","https://openalex.org/W2086619084","https://openalex.org/W2000036183","https://openalex.org/W2049858394"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,19,67,88,104,119],"novel":[4],"method":[5,101],"of":[6,107],"high-grade":[7,93],"brain":[8,94],"tumor":[9,95],"segmentation":[10],"from":[11,48],"multi-sequence":[12],"magnetic":[13],"resonance":[14],"images":[15,97],"is":[16,24,78,110],"presented.":[17],"Firstly,":[18],"Gaussian":[20],"mixture":[21],"model":[22],"(GMM)":[23],"introduced":[25],"to":[26,61],"derive":[27],"an":[28],"initial":[29],"posterior":[30,64,73],"probability":[31,74],"by":[32],"fitting":[33],"the":[34,63,72,99,113],"fluid":[35],"attenuation":[36],"inversion":[37],"recovery":[38],"histogram.":[39],"Secondly,":[40],"some":[41,123],"grayscale":[42,52],"and":[43,53,75,80],"region":[44,54],"properties":[45],"are":[46,59],"extracted":[47],"different":[49,57],"sequences.":[50],"Thirdly,":[51],"characteristics":[55],"with":[56,91],"weights":[58],"proposed":[60,100],"adjust":[62],"probability.":[65],"Finally,":[66],"cost":[68,125],"function":[69],"based":[70],"on":[71,87],"neighborhood":[76],"information":[77],"formulated":[79],"optimized":[81],"via":[82],"graph":[83,115],"cut.":[84],"Experiment":[85],"results":[86],"public":[89],"dataset":[90],"20":[92],"patient":[96],"show":[98],"could":[102],"achieve":[103],"dice":[105],"coefficient":[106],"78%,":[108],"which":[109],"higher":[111],"than":[112],"standard":[114],"cut":[116],"algorithm":[117],"without":[118],"probability-adjusting":[120],"step":[121],"or":[122],"other":[124],"function-based":[126],"methods.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
