{"id":"https://openalex.org/W4406138962","doi":"https://doi.org/10.1109/bibe63649.2024.10820480","title":"Efficient Whole Slide Image Classification Through Fisher Vector Representation","display_name":"Efficient Whole Slide Image Classification Through Fisher Vector Representation","publication_year":2024,"publication_date":"2024-11-27","ids":{"openalex":"https://openalex.org/W4406138962","doi":"https://doi.org/10.1109/bibe63649.2024.10820480"},"language":"en","primary_location":{"id":"doi:10.1109/bibe63649.2024.10820480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe63649.2024.10820480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 24th International Conference on Bioinformatics and Bioengineering (BIBE)","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/A5104148159","display_name":"Ravi Kant Gupta","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ravi Kant Gupta","raw_affiliation_strings":["Indian Institute of Technology Bombay,Department of Electrical Engineering,Mumbai,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay,Department of Electrical Engineering,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064686660","display_name":"D. Dharani","orcid":"https://orcid.org/0000-0001-6842-2435"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dadi Dharani","raw_affiliation_strings":["Indian Institute of Technology Bombay,Department of Electrical Engineering,Mumbai,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay,Department of Electrical Engineering,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017912305","display_name":"Sanil Shanker","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shambhavi Shanker","raw_affiliation_strings":["Indian Institute of Technology Bombay,Department of Electrical Engineering,Mumbai,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay,Department of Electrical Engineering,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087629613","display_name":"Amit Sethi","orcid":"https://orcid.org/0000-0002-8634-1804"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amit Sethi","raw_affiliation_strings":["Indian Institute of Technology Bombay,Department of Electrical Engineering,Mumbai,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay,Department of Electrical Engineering,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5104148159"],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23072282,"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":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.3847000002861023,"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/T10320","display_name":"Neural Networks and Applications","score":0.3847000002861023,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.3560999929904938,"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/T10057","display_name":"Face and Expression Recognition","score":0.3393999934196472,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6566238403320312},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6186384558677673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6164745688438416},{"id":"https://openalex.org/keywords/fisher-kernel","display_name":"Fisher kernel","score":0.5743273496627808},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.555319607257843},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5417729616165161},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.43879130482673645},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.393962562084198},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3797011375427246},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.1306227147579193},{"id":"https://openalex.org/keywords/kernel-fisher-discriminant-analysis","display_name":"Kernel Fisher discriminant analysis","score":0.08527788519859314}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6566238403320312},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6186384558677673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6164745688438416},{"id":"https://openalex.org/C207798031","wikidata":"https://www.wikidata.org/wiki/Q8563425","display_name":"Fisher kernel","level":5,"score":0.5743273496627808},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.555319607257843},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5417729616165161},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.43879130482673645},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.393962562084198},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3797011375427246},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.1306227147579193},{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.08527788519859314},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibe63649.2024.10820480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe63649.2024.10820480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 24th International Conference on Bioinformatics and Bioengineering (BIBE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1606858007","https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2225753847","https://openalex.org/W2295107390","https://openalex.org/W2302302587","https://openalex.org/W2438305798","https://openalex.org/W2738853914","https://openalex.org/W2760946358","https://openalex.org/W2805886241","https://openalex.org/W2807711156","https://openalex.org/W2889232360","https://openalex.org/W2889962273","https://openalex.org/W2945472816","https://openalex.org/W2947282851","https://openalex.org/W2980072096","https://openalex.org/W2982083293","https://openalex.org/W2991430586","https://openalex.org/W2995106101","https://openalex.org/W3135547872","https://openalex.org/W3164879340","https://openalex.org/W4323241526","https://openalex.org/W4328097952","https://openalex.org/W6766020037","https://openalex.org/W6858650706","https://openalex.org/W6863213949","https://openalex.org/W6870858737"],"related_works":["https://openalex.org/W2156150980","https://openalex.org/W2090763504","https://openalex.org/W2136112386","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W3107729110"],"abstract_inverted_index":{"The":[0,162],"advancement":[1],"of":[2,9,29,56,170,189,215],"digital":[3,216],"pathology,":[4],"particularly":[5],"through":[6],"computational":[7,129,197],"analysis":[8,156,169,211],"whole":[10],"slide":[11],"images":[12],"(WSI),":[13],"is":[14,104],"poised":[15],"to":[16,34,65,149],"significantly":[17,127],"enhance":[18],"diagnostic":[19],"precision":[20],"and":[21,27,36,54,89,137,157,199,206],"efficiency.":[22],"However,":[23],"the":[24,52,57,63,67,82,122,133,143,186,213],"large":[25],"size":[26],"complexity":[28],"WSIs":[30,83],"make":[31],"it":[32,75,91],"difficult":[33],"analyze":[35],"classify":[37],"them":[38],"using":[39],"computers.":[40],"This":[41,113],"study":[42],"introduces":[43],"a":[44,78],"novel":[45],"method":[46,71,145],"for":[47,96,106,209],"WSI":[48,123,155,210],"classification":[49,187],"by":[50],"automating":[51],"identification":[53],"examination":[55],"most":[58],"informative":[59],"patches,":[60,102,172],"thus":[61,131],"eliminating":[62],"need":[64],"process":[66,134],"entire":[68],"slide.":[69],"Our":[70],"involves":[72],"two-stages:":[73],"firstly,":[74],"extracts":[76],"only":[77,116,179],"few":[79],"patches":[80],"from":[81,100],"based":[84],"on":[85],"their":[86],"pathological":[87,119],"significance;":[88],"secondly,":[90],"employs":[92],"Fisher":[93,175],"vectors":[94],"(FVs)":[95],"representing":[97],"features":[98,120],"extracted":[99],"these":[101],"which":[103],"known":[105],"its":[107,151],"robustness":[108],"in":[109,212],"capturing":[110],"fine-grained":[111],"details.":[112],"approach":[114],"not":[115,178],"accentuates":[117],"key":[118],"within":[121],"representation":[124],"but":[125,182],"also":[126],"reduces":[128],"overhead,":[130],"making":[132],"more":[135],"efficient":[136,205],"scalable.":[138],"We":[139],"have":[140],"rigorously":[141],"evaluated":[142],"proposed":[144],"across":[146],"multiple":[147],"datasets":[148],"benchmark":[150],"performance":[152],"against":[153],"comprehensive":[154],"contemporary":[158],"weakly-supervised":[159],"learning":[160],"methodologies.":[161],"empirical":[163],"results":[164],"indicate":[165],"that":[166],"our":[167],"focused":[168],"select":[171],"combined":[173],"with":[174],"vector":[176],"representation,":[177],"aligns":[180],"with,":[181],"at":[183],"times":[184],"surpasses,":[185],"accuracy":[188],"standard":[190],"practices.":[191],"Moreover,":[192],"this":[193],"strategy":[194],"notably":[195],"diminishes":[196],"load":[198],"resource":[200],"expenditure,":[201],"thereby":[202],"establishing":[203],"an":[204],"precise":[207],"framework":[208],"realm":[214],"pathology.":[217]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
