{"id":"https://openalex.org/W3183597963","doi":"https://doi.org/10.1109/civemsa52099.2021.9493677","title":"Histopathological Transfer Learning for Acute Lymphoblastic Leukemia Detection","display_name":"Histopathological Transfer Learning for Acute Lymphoblastic Leukemia Detection","publication_year":2021,"publication_date":"2021-06-18","ids":{"openalex":"https://openalex.org/W3183597963","doi":"https://doi.org/10.1109/civemsa52099.2021.9493677","mag":"3183597963"},"language":"en","primary_location":{"id":"doi:10.1109/civemsa52099.2021.9493677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa52099.2021.9493677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/2434/841139","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031772222","display_name":"Angelo Genovese","orcid":"https://orcid.org/0000-0002-3683-4723"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Angelo Genovese","raw_affiliation_strings":["Universit\u00e0 degli Studi di Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 degli Studi di Milano, Italy","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073426758","display_name":"Mahdi S. Hosseini","orcid":"https://orcid.org/0000-0002-9147-0731"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mahdi S. Hosseini","raw_affiliation_strings":["University of New Brunswick, Fredericton, Canada"],"affiliations":[{"raw_affiliation_string":"University of New Brunswick, Fredericton, Canada","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009147954","display_name":"Vincenzo Piuri","orcid":"https://orcid.org/0000-0003-3178-8198"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vincenzo Piuri","raw_affiliation_strings":["Universit\u00e0 degli Studi di Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 degli Studi di Milano, Italy","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059152392","display_name":"Konstantinos N. Plataniotis","orcid":"https://orcid.org/0000-0003-3647-5473"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Konstantinos N. Plataniotis","raw_affiliation_strings":["University of Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004969615","display_name":"Fabio Scotti","orcid":"https://orcid.org/0000-0002-4277-3701"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Scotti","raw_affiliation_strings":["Universit\u00e0 degli Studi di Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 degli Studi di Milano, Italy","institution_ids":["https://openalex.org/I189158943"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031772222"],"corresponding_institution_ids":["https://openalex.org/I189158943"],"apc_list":null,"apc_paid":null,"fwci":3.3624,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.93813725,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9998000264167786,"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/T10862","display_name":"AI in cancer detection","score":0.9965000152587891,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9761999845504761,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7344629764556885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7005071640014648},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6923469305038452},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6920077800750732},{"id":"https://openalex.org/keywords/histopathology","display_name":"Histopathology","score":0.5825772881507874},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5447261929512024},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4465991258621216},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42620450258255005},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.10698258876800537}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7344629764556885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7005071640014648},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6923469305038452},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6920077800750732},{"id":"https://openalex.org/C544855455","wikidata":"https://www.wikidata.org/wiki/Q1070952","display_name":"Histopathology","level":2,"score":0.5825772881507874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5447261929512024},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4465991258621216},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42620450258255005},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.10698258876800537},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/civemsa52099.2021.9493677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa52099.2021.9493677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-article"},{"id":"pmh:oai:air.unimi.it:2434/841139","is_oa":true,"landing_page_url":"http://hdl.handle.net/2434/841139","pdf_url":"http://hdl.handle.net/2434/841139","source":{"id":"https://openalex.org/S4306400516","display_name":"Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189158943","host_organization_name":"University of Milan","host_organization_lineage":["https://openalex.org/I189158943"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/bookPart"}],"best_oa_location":{"id":"pmh:oai:air.unimi.it:2434/841139","is_oa":true,"landing_page_url":"http://hdl.handle.net/2434/841139","pdf_url":"http://hdl.handle.net/2434/841139","source":{"id":"https://openalex.org/S4306400516","display_name":"Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189158943","host_organization_name":"University of Milan","host_organization_lineage":["https://openalex.org/I189158943"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/bookPart"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3183597963.pdf"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2000897614","https://openalex.org/W2128074360","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2207171145","https://openalex.org/W2229491714","https://openalex.org/W2253429366","https://openalex.org/W2484322924","https://openalex.org/W2551596518","https://openalex.org/W2563823404","https://openalex.org/W2593687058","https://openalex.org/W2601028371","https://openalex.org/W2739179243","https://openalex.org/W2753825789","https://openalex.org/W2788565855","https://openalex.org/W2892341857","https://openalex.org/W2893154092","https://openalex.org/W2898491665","https://openalex.org/W2917111266","https://openalex.org/W2948885921","https://openalex.org/W2959123891","https://openalex.org/W2962835968","https://openalex.org/W2972638668","https://openalex.org/W2981092563","https://openalex.org/W2994336002","https://openalex.org/W3006315341","https://openalex.org/W3015240004","https://openalex.org/W3092224781","https://openalex.org/W3135939397","https://openalex.org/W3162323063","https://openalex.org/W3179163952","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6688155949","https://openalex.org/W6784702352","https://openalex.org/W6795273842","https://openalex.org/W7073958289"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3183901164","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W4206357785","https://openalex.org/W3192840557","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3167935049"],"abstract_inverted_index":{"The":[0],"detection":[1],"of":[2,16,44,52,58,93,110,121,138,184,199,254],"Acute":[3],"Lymphoblastic":[4],"(or":[5],"Lymphocytic)":[6],"Leukemia":[7],"(ALL)":[8],"is":[9],"being":[10],"increasingly":[11],"performed":[12],"with":[13,194,203,229,249],"the":[14,29,37,42,49,56,64,67,77,86,91,108,114,136,148,177,182,206,238,252],"help":[15],"Computer":[17],"Aided":[18],"Diagnosis":[19],"(CAD)":[20],"systems":[21],"based":[22,151],"on":[23,76,96,152,163,176,234,240],"Deep":[24],"Learning":[25],"(DL),":[26],"that":[27,159],"support":[28],"pathologists":[30],"in":[31,66,85,113],"performing":[32],"their":[33],"decision":[34],"by":[35,69],"analyzing":[36],"blood":[38],"samples":[39,122,200],"to":[40,62,99,167,180,205,211,222,231],"determine":[41],"presence":[43,183],"lymphoblasts.":[45,185],"When":[46],"using":[47],"DL,":[48],"limited":[50,124],"dimensionality":[51],"ALL":[53,104,157,178,243],"databases":[54,98,112],"favors":[55],"use":[57,92],"transfer":[59,101,154,227],"learning":[60,102,155],"techniques":[61],"increase":[63],"accuracy":[65],"detection,":[68,158],"considering":[70,246],"Convolutional":[71],"Neural":[72],"Networks":[73],"(CNN)":[74],"pretrained":[75,95,233],"general":[78,213],"purpose":[79],"ImageNet":[80],"database.":[81],"However,":[82],"no":[83],"method":[84,150],"literature":[87,115],"has":[88,116],"yet":[89],"considered":[90],"CNNs":[94,140,210,232],"histopathology":[97,111,165,187,216],"perform":[100,223],"for":[103,156,215],"detection.":[105],"In":[106,143],"fact,":[107],"majority":[109],"either":[117],"a":[118,161,164,173,191,195,224,241],"small":[119],"number":[120,198],"or":[123],"ground":[125],"truth":[126],"labeling":[127],"possibilities":[128],"(e.g.,":[129],"only":[130],"two":[131],"possible":[132],"classes),":[133],"which":[134,208],"hinders":[135],"effectiveness":[137],"training":[139],"from":[141],"scratch.":[142],"this":[144],"paper,":[145],"we":[146,189],"propose":[147],"first":[149],"histopathological":[153],"trains":[160],"CNN":[162],"database":[166,179,244],"classify":[168],"tissue":[169],"types,":[170],"then":[171],"performs":[172],"fine":[174],"tuning":[175],"detect":[181],"As":[186],"database,":[188],"consider":[190],"multi-label":[192],"dataset":[193],"significantly":[196],"higher":[197],"and":[201,219,245],"classes":[202],"respect":[204,230],"literature,":[207],"enables":[209],"learn":[212],"features":[214],"image":[217],"processing":[218],"hence":[220],"allow":[221],"more":[225],"effective":[226],"learning,":[228],"ImageNet.":[235],"We":[236],"evaluate":[237],"methodology":[239],"publicly-available":[242],"multiple":[247],"CNNs,":[248],"results":[250],"confirming":[251],"validity":[253],"our":[255],"approach.":[256]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":2}],"updated_date":"2026-02-26T08:16:20.718346","created_date":"2025-10-10T00:00:00"}
