{"id":"https://openalex.org/W4401752139","doi":"https://doi.org/10.1109/isbi56570.2024.10635260","title":"Histopathology Image Classification Using Supervised Contrastive Deep Learning","display_name":"Histopathology Image Classification Using Supervised Contrastive Deep Learning","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4401752139","doi":"https://doi.org/10.1109/isbi56570.2024.10635260"},"language":"en","primary_location":{"id":"doi:10.1109/isbi56570.2024.10635260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","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/A5075100287","display_name":"Md Mamunur Rahaman","orcid":"https://orcid.org/0000-0003-2268-2092"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Md Mamunur Rahaman","raw_affiliation_strings":["University of New South Wales,Sydney,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales,Sydney,Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074720807","display_name":"Ewan K.A. Millar","orcid":"https://orcid.org/0000-0002-9778-3253"},"institutions":[{"id":"https://openalex.org/I4210123059","display_name":"St George Hospital","ror":"https://ror.org/02pk13h45","country_code":"AU","type":"healthcare","lineage":["https://openalex.org/I4210123059"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ewan K. A. Millar","raw_affiliation_strings":["St. George Hospital,NSW Health Pathology,Kogarah,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"St. George Hospital,NSW Health Pathology,Kogarah,Australia","institution_ids":["https://openalex.org/I4210123059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023548565","display_name":"Erik Meijering","orcid":"https://orcid.org/0000-0001-8015-8358"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Erik Meijering","raw_affiliation_strings":["University of New South Wales,Sydney,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales,Sydney,Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.384,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.90195201,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"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":0.9998000264167786,"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":0.9998000264167786,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9976000189781189,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9824000000953674,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7579665184020996},{"id":"https://openalex.org/keywords/histopathology","display_name":"Histopathology","score":0.7153488397598267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6660798788070679},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5716328024864197},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.49056047201156616},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3416045904159546},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3324316740036011},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.1815265715122223},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11929255723953247}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7579665184020996},{"id":"https://openalex.org/C544855455","wikidata":"https://www.wikidata.org/wiki/Q1070952","display_name":"Histopathology","level":2,"score":0.7153488397598267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6660798788070679},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5716328024864197},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.49056047201156616},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3416045904159546},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3324316740036011},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.1815265715122223},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11929255723953247}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi56570.2024.10635260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W398859631","https://openalex.org/W1522301498","https://openalex.org/W2194775991","https://openalex.org/W2330219538","https://openalex.org/W2885824038","https://openalex.org/W2903119292","https://openalex.org/W2962934138","https://openalex.org/W2963460810","https://openalex.org/W2963897729","https://openalex.org/W3109224671","https://openalex.org/W3128646645","https://openalex.org/W3173898803","https://openalex.org/W3203168750","https://openalex.org/W3209367260","https://openalex.org/W3214733388","https://openalex.org/W4281853941","https://openalex.org/W4287812705","https://openalex.org/W4309137584","https://openalex.org/W4312096512","https://openalex.org/W4319069044","https://openalex.org/W4319299841","https://openalex.org/W4321201254","https://openalex.org/W4366213854","https://openalex.org/W4367315986","https://openalex.org/W4377819240","https://openalex.org/W4378639300","https://openalex.org/W4385879983","https://openalex.org/W4386076317","https://openalex.org/W4386874933","https://openalex.org/W6631190155","https://openalex.org/W6762718338","https://openalex.org/W6776700526","https://openalex.org/W6846267246","https://openalex.org/W6852177738","https://openalex.org/W6856944908"],"related_works":["https://openalex.org/W3039419443","https://openalex.org/W4386772532","https://openalex.org/W4393212117","https://openalex.org/W2115661411","https://openalex.org/W2399391471","https://openalex.org/W2400254106","https://openalex.org/W2970729894","https://openalex.org/W4381996710","https://openalex.org/W4294739205","https://openalex.org/W2546503577"],"abstract_inverted_index":{"Cancer":[0],"remains":[1],"a":[2,30,55,63,105],"significant":[3],"global":[4],"health":[5],"problem,":[6],"with":[7,54],"the":[8,40,74],"cornerstone":[9],"of":[10,42,77,118],"its":[11],"diagnosis":[12,111],"being":[13],"histopathological":[14],"image":[15,36],"analysis,":[16],"which":[17],"can":[18],"be":[19],"prone":[20],"to":[21,69,80],"human":[22],"subjectivity":[23],"and":[24],"error.":[25],"This":[26,102],"paper":[27],"introduces":[28],"CHistNet,":[29],"novel":[31],"framework":[32],"tailored":[33],"for":[34,48,108],"histopathology":[35,97],"classification.":[37],"CHistNet":[38],"leverages":[39],"advantages":[41],"contrastive":[43,78],"learning":[44,79],"strategies,":[45],"especially":[46],"beneficial":[47],"imbalanced":[49],"data":[50],"scenarios,":[51],"in":[52],"combination":[53],"cross-entropy":[56],"loss":[57],"function.":[58],"Our":[59],"approach":[60],"focuses":[61],"on":[62,90],"sequential":[64],"methodology,":[65],"transitioning":[66],"from":[67,95],"feature":[68,83],"classifier":[70],"learning,":[71],"truly":[72],"reflecting":[73],"core":[75],"principles":[76],"produce":[81],"superior":[82],"representations.":[84],"We":[85],"extensively":[86],"tested":[87],"our":[88],"method":[89],"five":[91],"publicly":[92],"available":[93,122],"datasets":[94],"various":[96],"domains,":[98],"achieving":[99],"state-of-the-art":[100],"accuracy.":[101],"research":[103],"provides":[104],"valuable":[106],"tool":[107],"enhancing":[109],"cancer":[110],"through":[112],"increased":[113],"precision.":[114],"The":[115],"source":[116],"code":[117],"this":[119],"study":[120],"is":[121],"at:":[123],"https://github.com/Mamunur-20/CHistNet.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-27T08:28:00.272161","created_date":"2025-10-10T00:00:00"}
