{"id":"https://openalex.org/W4407838382","doi":"https://doi.org/10.3233/978-1-61499-423-7-213","title":"3D texture analysis of MR images to improve classification of paediatric brain tumours: a preliminary study","display_name":"3D texture analysis of MR images to improve classification of paediatric brain tumours: a preliminary study","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W4407838382","doi":"https://doi.org/10.3233/978-1-61499-423-7-213"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-423-7-213","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-423-7-213","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"type":"book-chapter","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/A5061212635","display_name":"Sheila E. Fisher","orcid":"https://orcid.org/0000-0002-2364-9094"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Fetit Ahmed E.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031087263","display_name":"Jan Nov\u00e1k","orcid":"https://orcid.org/0000-0002-9211-6670"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Novak Jan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020713950","display_name":"Paula Andrea Montenegro Chaucanes","orcid":"https://orcid.org/0000-0003-3931-5352"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peet Andrew C.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5110529548","display_name":"Arvanitis Theodoros N.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arvanitis Theodoros N.","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061212635"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71312804,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9975000023841858,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9889000058174133,"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":0.9879000186920166,"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/texture","display_name":"Texture (cosmology)","score":0.6946496963500977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4999864101409912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4878280460834503},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39140981435775757},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3556695580482483},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.34223827719688416},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3265343904495239},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11873960494995117}],"concepts":[{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6946496963500977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4999864101409912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4878280460834503},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39140981435775757},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3556695580482483},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.34223827719688416},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3265343904495239},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11873960494995117}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-423-7-213","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-423-7-213","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Brain":[0],"and":[1,121,150,184],"central":[2],"nervous":[3],"system":[4],"(CNS)":[5],"tumours":[6,30,45,165],"form":[7],"the":[8,18,74,88,112,138,164,167,177],"second":[9],"most":[10],"common":[11],"group":[12],"of":[13,23,29,64,90,114,119,158],"cancers":[14],"in":[15,17,52,94,125],"children":[16],"UK,":[19],"accounting":[20],"for":[21,76],"27%":[22],"all":[24],"childhood":[25],"cancers.":[26],"Initial":[27],"assessment":[28],"from":[31],"MRI":[32,91],"scans":[33],"is":[34,58],"usually":[35,59],"performed":[36],"qualitatively,":[37],"via":[38,61],"radiologists'":[39],"visual":[40],"inspection.":[41],"However,":[42,171],"different":[43],"brain":[44,100,130],"do":[46],"not":[47],"always":[48],"demonstrate":[49],"clear":[50],"differences":[51],"physical":[53],"appearance,":[54],"so":[55],"a":[56,83,108],"diagnosis":[57],"made":[60],"histopathological":[62],"examination":[63],"biopsy":[65],"samples":[66],"taken":[67],"through":[68],"surgery.":[69],"This":[70],"gives":[71],"rise":[72],"to":[73,127,175,180],"need":[75],"accurate,":[77],"yet":[78],"non-invasive":[79],"diagnostic":[80],"aids.":[81],"In":[82,102],"previous":[84],"study,":[85],"we":[86,105],"demonstrated":[87],"potential":[89],"texture":[92,117,141],"analysis":[93,118,142],"capturing":[95,159],"quantitative":[96],"information":[97,162],"about":[98,163],"paediatric":[99,129],"tumours.":[101,131],"this":[103],"work,":[104],"carry":[106],"out":[107],"preliminary":[109,145],"investigation":[110],"on":[111],"use":[113],"3D":[115,153],"(volumetric)":[116],"T1":[120],"T2-weighted":[122],"MR":[123],"images":[124],"order":[126],"classify":[128],"We":[132],"then":[133],"compare":[134],"its":[135],"performance":[136],"with":[137],"traditional":[139,168],"2D":[140,169],"approach.":[143,170],"Our":[144],"findings":[146],"are":[147,156],"very":[148],"encouraging":[149],"show":[151],"that":[152],"textural":[154],"features":[155],"capable":[157],"more":[160],"discriminative":[161],"than":[166],"it":[172],"remains":[173],"necessary":[174],"expand":[176],"work":[178],"further":[179],"include":[181],"larger":[182],"cohorts":[183],"additional":[185],"modalities.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}