{"id":"https://openalex.org/W2123522966","doi":"https://doi.org/10.1109/titb.2011.2104376","title":"Efficacy of Texture, Shape, and Intensity Feature Fusion for Posterior-Fossa Tumor Segmentation in MRI","display_name":"Efficacy of Texture, Shape, and Intensity Feature Fusion for Posterior-Fossa Tumor Segmentation in MRI","publication_year":2011,"publication_date":"2011-01-07","ids":{"openalex":"https://openalex.org/W2123522966","doi":"https://doi.org/10.1109/titb.2011.2104376","mag":"2123522966","pmid":"https://pubmed.ncbi.nlm.nih.gov/21216716"},"language":"en","primary_location":{"id":"doi:10.1109/titb.2011.2104376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/titb.2011.2104376","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/A5034004423","display_name":"Shaheen Ahmed","orcid":"https://orcid.org/0000-0002-8720-5513"},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shaheen Ahmed","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Memphis, Memphis, USA","Dept. of Electr. & Comput. Eng., Univ. of Memphis, Memphis, TN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Memphis, Memphis, USA","institution_ids":["https://openalex.org/I94658018"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. of Memphis, Memphis, TN, USA","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081863591","display_name":"Khan M. Iftekharuddin","orcid":"https://orcid.org/0000-0001-8316-4163"},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khan M. Iftekharuddin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Memphis, Memphis, USA","Dept. of Electr. & Comput. Eng., Univ. of Memphis, Memphis, TN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Memphis, Memphis, USA","institution_ids":["https://openalex.org/I94658018"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. of Memphis, Memphis, TN, USA","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012536194","display_name":"Arastoo Vossough","orcid":"https://orcid.org/0000-0003-1346-427X"},"institutions":[{"id":"https://openalex.org/I1335321130","display_name":"Children's Hospital of Philadelphia","ror":"https://ror.org/01z7r7q48","country_code":"US","type":"funder","lineage":["https://openalex.org/I1335321130"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arastoo Vossough","raw_affiliation_strings":["Pediatric Radiology, Children Hospital of Philadelphia, PA, USA","Pediatric Radiol., Children Hosp. of Philadelphia, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Pediatric Radiology, Children Hospital of Philadelphia, PA, USA","institution_ids":["https://openalex.org/I1335321130"]},{"raw_affiliation_string":"Pediatric Radiol., Children Hosp. of Philadelphia, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I1335321130"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034004423"],"corresponding_institution_ids":["https://openalex.org/I94658018"],"apc_list":null,"apc_paid":null,"fwci":8.2423,"has_fulltext":false,"cited_by_count":113,"citation_normalized_percentile":{"value":0.98163012,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"15","issue":"2","first_page":"206","last_page":"213"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7517964243888855},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7093086242675781},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6147741675376892},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5593795776367188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5067923665046692},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.46477749943733215},{"id":"https://openalex.org/keywords/fluid-attenuated-inversion-recovery","display_name":"Fluid-attenuated inversion recovery","score":0.4540983736515045},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43602511286735535},{"id":"https://openalex.org/keywords/radiomics","display_name":"Radiomics","score":0.42165228724479675},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42103704810142517},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.41825783252716064},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.3344578146934509},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.22911587357521057},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.20804661512374878}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7517964243888855},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7093086242675781},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6147741675376892},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5593795776367188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5067923665046692},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.46477749943733215},{"id":"https://openalex.org/C101070640","wikidata":"https://www.wikidata.org/wiki/Q3737215","display_name":"Fluid-attenuated inversion recovery","level":3,"score":0.4540983736515045},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43602511286735535},{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.42165228724479675},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42103704810142517},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.41825783252716064},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.3344578146934509},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22911587357521057},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.20804661512374878},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","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":"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":"D015192","descriptor_name":"Infratentorial Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D015192","descriptor_name":"Infratentorial Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D015192","descriptor_name":"Infratentorial Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D017709","descriptor_name":"Fractals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017709","descriptor_name":"Fractals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017709","descriptor_name":"Fractals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/titb.2011.2104376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/titb.2011.2104376","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:21216716","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21216716","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":[{"display_name":"Reduced inequalities","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1506048511","https://openalex.org/W1510025199","https://openalex.org/W1600551220","https://openalex.org/W1989890904","https://openalex.org/W1991113069","https://openalex.org/W2002259024","https://openalex.org/W2004349848","https://openalex.org/W2006598173","https://openalex.org/W2011976904","https://openalex.org/W2027913322","https://openalex.org/W2042139550","https://openalex.org/W2044813956","https://openalex.org/W2060148090","https://openalex.org/W2078206416","https://openalex.org/W2078763422","https://openalex.org/W2094654661","https://openalex.org/W2098360446","https://openalex.org/W2117020833","https://openalex.org/W2130331029","https://openalex.org/W2134491911","https://openalex.org/W2134544888","https://openalex.org/W2144706189","https://openalex.org/W2146874823","https://openalex.org/W2159372453","https://openalex.org/W2159955373","https://openalex.org/W2183998037","https://openalex.org/W2800860906","https://openalex.org/W2992097839","https://openalex.org/W6635677545","https://openalex.org/W6670016954","https://openalex.org/W6771213929"],"related_works":["https://openalex.org/W1840273037","https://openalex.org/W2566648451","https://openalex.org/W2074857711","https://openalex.org/W2118331541","https://openalex.org/W2980182036","https://openalex.org/W2108413430","https://openalex.org/W2549765251","https://openalex.org/W2021143974","https://openalex.org/W2897195263","https://openalex.org/W2045844866"],"abstract_inverted_index":{"Our":[0,88],"previous":[1],"works":[2],"suggest":[3],"that":[4,91,124,153],"fractal":[5,34],"texture":[6,144],"feature":[7,55,96,106,145,175],"is":[8,140,157],"useful":[9],"to":[10,63,188],"detect":[11],"pediatric":[12,46,205],"brain":[13,72],"tumor":[14,44,65,86,109,138,180,199],"in":[15,39,70,119,201],"multimodal":[16,71],"MRI.":[17,73],"In":[18,166],"this":[19,120],"study,":[20],"we":[21],"systematically":[22],"investigate":[23],"efficacy":[24],"of":[25,41,51,80,193],"using":[26,52,142],"several":[27],"different":[28,54,59,185],"image":[29],"features":[30,82,196],"such":[31,146],"as":[32,147],"intensity,":[33],"texture,":[35],"and":[36,57,98,100,108,127,172,191],"level-set":[37,161],"shape":[38,162],"segmentation":[40,60,110,139,181,200],"posterior-fossa":[42],"(PF)":[43],"for":[45,83,95,105,115,125,154,197,203],"patients.":[47,206],"We":[48,74,122,183],"explore":[49],"effectiveness":[50],"four":[53],"selection":[56,99],"three":[58],"techniques,":[61],"respectively,":[62],"discriminate":[64],"regions":[66],"from":[67],"normal":[68],"tissue":[69],"further":[75],"study":[76],"the":[77,101,112,116,135,143,177],"selective":[78],"fusion":[79,107],"these":[81,194],"improved":[84],"PF":[85,137,179,198],"segmentation.":[87],"result":[89],"suggests":[90],"Kullback-Leibler":[92],"divergence":[93],"measure":[94],"ranking":[97],"expectation":[102],"maximization":[103],"algorithm":[104],"offer":[111],"best":[113,136,178],"results":[114],"patient":[117],"data":[118],"study.":[121],"show":[123],"T1":[126],"fluid":[128],"attenuation":[129],"inversion":[130],"recovery":[131],"(FLAIR)":[132],"MRI":[133,156,169,202],"modalities,":[134],"obtained":[141,158],"multifractional":[148],"Brownian":[149],"motion":[150],"(mBm)":[151],"while":[152],"T2":[155],"by":[159],"fusing":[160],"with":[163],"intensity":[164],"features.":[165],"multimodality":[167],"fused":[168],"(T1,":[170],"T2,":[171],"FLAIR),":[173],"mBm":[174],"offers":[176],"performance.":[182],"use":[184],"similarity":[186],"metrics":[187],"evaluate":[189],"quality":[190],"robustness":[192],"selected":[195],"ten":[204]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
