{"id":"https://openalex.org/W7124918669","doi":"https://doi.org/10.1109/cvmi66673.2025.11337471","title":"A Vision Transformer Based Framework for Scalable and Interpretable Glioma Histopathology Classification","display_name":"A Vision Transformer Based Framework for Scalable and Interpretable Glioma Histopathology Classification","publication_year":2025,"publication_date":"2025-10-12","ids":{"openalex":"https://openalex.org/W7124918669","doi":"https://doi.org/10.1109/cvmi66673.2025.11337471"},"language":null,"primary_location":{"id":"doi:10.1109/cvmi66673.2025.11337471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvmi66673.2025.11337471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI)","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/A5075692559","display_name":"Sagar Kumar Jha","orcid":null},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sagar Kumar Jha","raw_affiliation_strings":["Indraprastha Institute of Information Technology,Center for Advanced Research,Delhi,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology,Center for Advanced Research,Delhi,India","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123373002","display_name":"Madhavi Mathur","orcid":null},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Madhavi Mathur","raw_affiliation_strings":["Indraprastha Institute of Information Technology,Department of Computational Biology,Delhi,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology,Department of Computational Biology,Delhi,India","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076250093","display_name":"Afza Akbar","orcid":null},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Afza Akbar","raw_affiliation_strings":["Indraprastha Institute of Information Technology,Center of Excellence in Healthcare,Delhi,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology,Center of Excellence in Healthcare,Delhi,India","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101832921","display_name":"Jyoti Singh","orcid":"https://orcid.org/0000-0001-8367-1085"},"institutions":[{"id":"https://openalex.org/I63739035","display_name":"All India Institute of Medical Sciences","ror":"https://ror.org/02dwcqs71","country_code":"IN","type":"education","lineage":["https://openalex.org/I2799351866","https://openalex.org/I4210148677","https://openalex.org/I63739035"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jyotsna Singh","raw_affiliation_strings":["All India Institute of Medical Sciences,Neuropathology Laboratory,New Delhi,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"All India Institute of Medical Sciences,Neuropathology Laboratory,New Delhi,India","institution_ids":["https://openalex.org/I63739035"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123440546","display_name":"Abhishek Rana","orcid":null},"institutions":[{"id":"https://openalex.org/I63739035","display_name":"All India Institute of Medical Sciences","ror":"https://ror.org/02dwcqs71","country_code":"IN","type":"education","lineage":["https://openalex.org/I2799351866","https://openalex.org/I4210148677","https://openalex.org/I63739035"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhishek Rana","raw_affiliation_strings":["All India Institute of Medical Sciences,Neuropathology Laboratory,New Delhi,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"All India Institute of Medical Sciences,Neuropathology Laboratory,New Delhi,India","institution_ids":["https://openalex.org/I63739035"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123448089","display_name":"Vaishali Suri","orcid":null},"institutions":[{"id":"https://openalex.org/I63739035","display_name":"All India Institute of Medical Sciences","ror":"https://ror.org/02dwcqs71","country_code":"IN","type":"education","lineage":["https://openalex.org/I2799351866","https://openalex.org/I4210148677","https://openalex.org/I63739035"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vaishali Suri","raw_affiliation_strings":["All India Institute of Medical Sciences,Neuropathology Laboratory,New Delhi,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"All India Institute of Medical Sciences,Neuropathology Laboratory,New Delhi,India","institution_ids":["https://openalex.org/I63739035"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123434409","display_name":"Tavpritesh Sethi","orcid":null},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tavpritesh Sethi","raw_affiliation_strings":["Indraprastha Institute of Information Technology,Center for Advanced Research,Delhi,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology,Center for Advanced Research,Delhi,India","institution_ids":["https://openalex.org/I119939252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.79811801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.40299999713897705,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.40299999713897705,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.1915999948978424,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.1679999977350235,"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/interpretability","display_name":"Interpretability","score":0.7073000073432922},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5975000262260437},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5885999798774719},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5859000086784363},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4336000084877014},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.4277999997138977},{"id":"https://openalex.org/keywords/digital-pathology","display_name":"Digital pathology","score":0.4196000099182129},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.41429999470710754},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4034999907016754}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7109000086784363},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7073000073432922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6758000254631042},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5975000262260437},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5885999798774719},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5859000086784363},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5019999742507935},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4336000084877014},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.4277999997138977},{"id":"https://openalex.org/C2777522853","wikidata":"https://www.wikidata.org/wiki/Q5276128","display_name":"Digital pathology","level":2,"score":0.4196000099182129},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.41429999470710754},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4034999907016754},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.36079999804496765},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3549000024795532},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3443000018596649},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C2778227246","wikidata":"https://www.wikidata.org/wiki/Q1365309","display_name":"Glioma","level":2,"score":0.3050999939441681},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.2921000123023987},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.2551000118255615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvmi66673.2025.11337471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvmi66673.2025.11337471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.42880624532699585,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2344480160","https://openalex.org/W2504150216","https://openalex.org/W2964054038","https://openalex.org/W2996092187","https://openalex.org/W3174246647","https://openalex.org/W4385245566"],"related_works":[],"abstract_inverted_index":{"Glioma":[0],"subtype":[1],"classification":[2,165],"remains":[3],"a":[4,38,83,90,159,215],"core":[5],"challenge":[6],"in":[7,28,175,225],"neuropathology,":[8],"primarily":[9],"due":[10],"to":[11,94,184],"the":[12,20,107,119,132,169,210],"complex":[13],"morphological":[14],"variability":[15],"of":[16,22,65,172,212],"tumor":[17],"tissues":[18],"and":[19,51,55,106,126,197,200,217],"limitations":[21],"traditional":[23],"convolutional":[24],"neural":[25],"networks":[26],"(CNNs)":[27],"capturing":[29],"global":[30],"contextual":[31],"information.":[32],"In":[33],"this":[34],"study,":[35],"we":[36,88],"propose":[37],"transformer-based":[39],"approach":[40],"for":[41,150,162,221],"classifying":[42],"glioma":[43,163],"subtypes":[44],"specifically":[45],"astrocytoma":[46],"(WHO":[47],"Grades":[48],"2,":[49],"3,":[50],"4)":[52],"using":[53,203],"hematoxylin":[54],"eosin":[56],"(H&E)-stained":[57],"whole":[58],"slide":[59],"images":[60],"(WSIs).":[61],"Our":[62,154],"dataset":[63],"consists":[64],"91":[66],"WSIs,":[67],"each":[68],"annotated":[69],"by":[70],"experienced":[71],"neuropathologists,":[72],"from":[73],"which":[74],"over":[75],"20,000":[76],"diagnostic":[77,223],"patches":[78],"were":[79],"extracted.":[80],"To":[81],"provide":[82],"fair":[84],"comparison":[85],"across":[86],"architectures,":[87],"implemented":[89],"unified":[91],"training":[92],"pipeline":[93],"assess":[95],"six":[96],"prominent":[97],"deep":[98],"learning":[99],"models:":[100],"ResNet-50,":[101],"DenseNet-121,":[102],"EfficientNet-B3,":[103],"ConvNeXt-Tiny,":[104],"SE-ResNet-50,":[105],"Vision":[108,173],"Transformer":[109],"(ViT).":[110],"Among":[111],"these,":[112],"ViT":[113],"outperformed":[114],"all":[115],"CNN-based":[116],"models,":[117],"achieving":[118],"highest":[120],"accuracy":[121,224],"(92.00%),":[122],"F1":[123],"score":[124],"(0.9200),":[125],"AUC":[127],"(0.9950),":[128],"while":[129],"also":[130,167],"offering":[131],"fastest":[133],"inference":[134,186],"speed":[135],"(0.20":[136],"ms).":[137],"Its":[138],"attention-based":[139,204],"design":[140],"effectively":[141],"captures":[142],"long-range":[143],"spatial":[144],"dependencies,":[145],"making":[146],"it":[147],"particularly":[148],"suited":[149],"histopathological":[151],"image":[152],"analysis.":[153],"results":[155],"not":[156],"only":[157],"establish":[158],"strong":[160],"benchmark":[161],"sub-type":[164],"but":[166],"highlight":[168],"transformative":[170],"potential":[171],"Transformers":[174],"digital":[176],"neuropathology.":[177,226],"Future":[178],"work":[179],"will":[180],"focus":[181],"on":[182],"expanding":[183],"full-slide":[185],"through":[187],"attention-guided":[188],"feature":[189],"aggregation,":[190],"integrating":[191],"genomic":[192],"markers":[193],"such":[194],"as":[195,214],"IDH1":[196],"ATRX":[198],"mutations,":[199],"improving":[201],"interpretability":[202],"visualizations.":[205],"Overall,":[206],"our":[207],"findings":[208],"support":[209],"adoption":[211],"ViTs":[213],"robust":[216],"scalable":[218],"AI":[219],"solution":[220],"enhancing":[222]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-21T00:00:00"}
