{"id":"https://openalex.org/W4407832708","doi":"https://doi.org/10.3233/978-1-61499-538-8-19","title":"3D Texture Analysis of Heterogeneous MRI Data for Diagnostic Classification of Childhood Brain Tumours","display_name":"3D Texture Analysis of Heterogeneous MRI Data for Diagnostic Classification of Childhood Brain Tumours","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W4407832708","doi":"https://doi.org/10.3233/978-1-61499-538-8-19"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-538-8-19","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-538-8-19","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/A5111461600","display_name":"R. K. Daniel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rodriguez Daniel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078584950","display_name":"A. P.","orcid":"https://orcid.org/0000-0003-3103-2200"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Auer Dorothee P.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110559138","display_name":"Clark Chris A.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Clark Chris A.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116373212","display_name":"Grundy Richard G.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Grundy Richard G.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116373213","display_name":"Jaspan Tim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jaspan Tim","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091554542","display_name":"M.F.C. Pereira","orcid":"https://orcid.org/0000-0002-7932-8062"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peet Andrew C.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5114050144","display_name":"A. N.","orcid":"https://orcid.org/0009-0003-8802-6191"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arvanitis Theodoros N.","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"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":1,"citation_normalized_percentile":{"value":0.75774278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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":0.9959999918937683,"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":0.9959999918937683,"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":0.9865000247955322,"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":0.9763000011444092,"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":0.6031278967857361},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4657991826534271},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.43202149868011475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41766855120658875},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3881783187389374},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3568917512893677},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3224605917930603},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.2743682861328125},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.23020106554031372},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.051936209201812744}],"concepts":[{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6031278967857361},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4657991826534271},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.43202149868011475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41766855120658875},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3881783187389374},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3568917512893677},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3224605917930603},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.2743682861328125},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.23020106554031372},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.051936209201812744}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-538-8-19","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-538-8-19","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2327340211","https://openalex.org/W2027542625","https://openalex.org/W4292199793","https://openalex.org/W2282195379","https://openalex.org/W2089784006","https://openalex.org/W2295388821","https://openalex.org/W2102312026","https://openalex.org/W2071433170","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Brain":[0],"tumours":[1,8,21],"are":[2,22],"the":[3,58,87,157],"most":[4,17],"frequently":[5],"occuring":[6],"solid":[7],"affecting":[9],"childhood,":[10],"representing":[11],"27%":[12],"of":[13,31,76,89,95,115,165,185],"all":[14],"cancers.":[15],"The":[16,73,103],"common":[18],"posterior":[19],"fossa":[20],"medulloblastoma,":[23,128],"pilocytic":[24,129],"astrocytoma":[25,130],"and":[26,42,62,113,118,131,141,154,187,194],"ependymoma.":[27,132],"Texture":[28],"Analysis":[29],"(TA)":[30],"Magnetic":[32],"Resonance":[33],"Imaging":[34],"(MRI)":[35],"aims":[36],"to":[37,66,80],"represent":[38],"pixel":[39],"distributions,":[40],"intensities":[41],"dependencies":[43],"using":[44,99,156,188],"mathematically":[45],"defined":[46],"features.":[47],"Such":[48],"features":[49],"could":[50],"potentially":[51],"provide":[52],"quantifiable":[53],"information":[54],"that":[55,169],"is":[56,168],"beyond":[57],"human":[59],"vision":[60],"capabilities,":[61],"hence":[63],"be":[64],"used":[65,105,178],"supplement":[67],"qualitative":[68],"assessments":[69],"conducted":[70],"by":[71,191],"radiologists.":[72],"primary":[74],"aim":[75],"this":[77,166],"study":[78,167],"was":[79,152],"carry":[81],"out":[82],"a":[83,146,173,183],"multicentre":[84],"investigation":[85],"on":[86,138,179],"efficacy":[88],"3D":[90,134,170],"TA":[91,171],"for":[92],"diagnostic":[93],"classification":[94],"childhood":[96],"brain":[97],"tumours,":[98],"conventional":[100],"MRI":[101,120],"images.":[102],"data":[104,180],"had":[106],"been":[107],"acquired":[108,181],"at":[109,195],"three":[110],"different":[111,192,196],"hospitals":[112],"consisted":[114],"pre-contrast":[116],"T1":[117],"T2-weighted":[119],"series,":[121],"obtained":[122],"from":[123,182],"121":[124],"children":[125],"diagnosed":[126],"with":[127],"Using":[133],"textural":[135],"features,":[136],"based":[137],"first,":[139],"second":[140],"higher":[142],"order":[143],"statistical":[144],"methods,":[145],"support":[147],"vector":[148],"machine":[149],"(SVM)":[150],"classifier":[151],"trained":[153],"tested":[155],"leave-one-out":[158],"cross-validation":[159],"(LOOCV)":[160],"approach.":[161],"An":[162],"essential":[163],"outcome":[164],"demonstrated":[172],"good":[174],"overall":[175],"performance,":[176],"when":[177],"number":[184],"centres":[186],"scanners":[189],"made":[190],"manufacturers":[193],"magnetic":[197],"field":[198],"strengths.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
