{"id":"https://openalex.org/W4385485034","doi":"https://doi.org/10.1109/icasspw59220.2023.10193429","title":"ALL-IDB Patches: Whole Slide Imaging For Acute Lymphoblastic Leukemia Detection Using Deep Learning","display_name":"ALL-IDB Patches: Whole Slide Imaging For Acute Lymphoblastic Leukemia Detection Using Deep Learning","publication_year":2023,"publication_date":"2023-06-04","ids":{"openalex":"https://openalex.org/W4385485034","doi":"https://doi.org/10.1109/icasspw59220.2023.10193429"},"language":"en","primary_location":{"id":"doi:10.1109/icasspw59220.2023.10193429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icasspw59220.2023.10193429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://air.unimi.it/bitstream/2434/966277/2/aimia23.pdf","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":["Università degli Studi di Milano,Department of Computer Science,Italy"],"affiliations":[{"raw_affiliation_string":"Università degli Studi di Milano,Department of Computer Science,Italy","institution_ids":["https://openalex.org/I189158943"]}]},{"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":["Università degli Studi di Milano,Department of Computer Science,Italy"],"affiliations":[{"raw_affiliation_string":"Università degli Studi di Milano,Department of Computer Science,Italy","institution_ids":["https://openalex.org/I189158943"]}]},{"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":["Università degli Studi di Milano,Department of Computer Science,Italy"],"affiliations":[{"raw_affiliation_string":"Università degli Studi di Milano,Department of Computer Science,Italy","institution_ids":["https://openalex.org/I189158943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031772222"],"corresponding_institution_ids":["https://openalex.org/I189158943"],"apc_list":null,"apc_paid":null,"fwci":0.7288,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72482687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9785000085830688,"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":0.9606999754905701,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7460103631019592},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7126613855361938},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7100048661231995},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6663066148757935},{"id":"https://openalex.org/keywords/lymphoblastic-leukemia","display_name":"Lymphoblastic Leukemia","score":0.6562233567237854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6038497090339661},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5802035927772522},{"id":"https://openalex.org/keywords/acute-lymphocytic-leukemia","display_name":"Acute lymphocytic leukemia","score":0.569014847278595},{"id":"https://openalex.org/keywords/usable","display_name":"USable","score":0.546563982963562},{"id":"https://openalex.org/keywords/orthogonality","display_name":"Orthogonality","score":0.5274180173873901},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4224206507205963},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34787023067474365},{"id":"https://openalex.org/keywords/leukemia","display_name":"Leukemia","score":0.2129274308681488},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10806688666343689},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10392701625823975}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7460103631019592},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7126613855361938},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7100048661231995},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6663066148757935},{"id":"https://openalex.org/C2909962599","wikidata":"https://www.wikidata.org/wiki/Q180664","display_name":"Lymphoblastic Leukemia","level":3,"score":0.6562233567237854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6038497090339661},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5802035927772522},{"id":"https://openalex.org/C2781107101","wikidata":"https://www.wikidata.org/wiki/Q180664","display_name":"Acute lymphocytic leukemia","level":4,"score":0.569014847278595},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.546563982963562},{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.5274180173873901},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4224206507205963},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34787023067474365},{"id":"https://openalex.org/C2778461978","wikidata":"https://www.wikidata.org/wiki/Q29496","display_name":"Leukemia","level":2,"score":0.2129274308681488},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10806688666343689},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10392701625823975},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icasspw59220.2023.10193429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icasspw59220.2023.10193429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","raw_type":"proceedings-article"},{"id":"pmh:oai:air.unimi.it:2434/966277","is_oa":true,"landing_page_url":"https://hdl.handle.net/2434/966277","pdf_url":"https://air.unimi.it/bitstream/2434/966277/2/aimia23.pdf","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"},{"id":"pmh:oai:zenodo.org:10498434","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ICASSPW59220.2023.10193429","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"ICASSPW, Acoustics, Speech, and Signal Processing Workshops (ICASSPW), IEEE International Conference on, Rhodes Island, Greece, 04-10 June 2023","raw_type":"info:eu-repo/semantics/conferenceProceedings"}],"best_oa_location":{"id":"pmh:oai:air.unimi.it:2434/966277","is_oa":true,"landing_page_url":"https://hdl.handle.net/2434/966277","pdf_url":"https://air.unimi.it/bitstream/2434/966277/2/aimia23.pdf","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":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385485034.pdf","grobid_xml":"https://content.openalex.org/works/W4385485034.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W2000897614","https://openalex.org/W2194775991","https://openalex.org/W2229491714","https://openalex.org/W2753825789","https://openalex.org/W2893154092","https://openalex.org/W2898491665","https://openalex.org/W2948885921","https://openalex.org/W2962858109","https://openalex.org/W2972638668","https://openalex.org/W2973159514","https://openalex.org/W2981092563","https://openalex.org/W3006315341","https://openalex.org/W3015240004","https://openalex.org/W3034222740","https://openalex.org/W3162323063","https://openalex.org/W3183597963","https://openalex.org/W3194494050","https://openalex.org/W4200476498","https://openalex.org/W4221150821","https://openalex.org/W4293053497","https://openalex.org/W4309867028","https://openalex.org/W6804958178","https://openalex.org/W6846767006","https://openalex.org/W7073958289"],"related_works":["https://openalex.org/W2982321410","https://openalex.org/W2095582735","https://openalex.org/W2059318893","https://openalex.org/W1965698851","https://openalex.org/W2392004567","https://openalex.org/W2046296964","https://openalex.org/W834942123","https://openalex.org/W2940029036","https://openalex.org/W4388292429","https://openalex.org/W4232542516"],"abstract_inverted_index":{"The":[0,121],"detection":[1],"of":[2,27,31,62,67,80,127],"Acute":[3],"Lymphoblastic":[4],"(or":[5],"Lymphocytic)":[6],"Leukemia":[7],"(ALL)":[8],"is":[9],"being":[10],"increasingly":[11],"performed":[12],"using":[13],"Deep":[14],"Learning":[15],"models":[16],"(DL)":[17],"that":[18],"analyze":[19],"each":[20],"blood":[21],"sample":[22],"to":[23,64],"detect":[24],"the":[25,32,69,84,97,103,118,125],"presence":[26],"lymphoblasts,":[28],"possible":[29],"indicators":[30],"disease.":[33],"However,":[34],"images":[35,85],"included":[36],"in":[37],"current":[38,88],"databases":[39],"are":[40],"either":[41],"too":[42],"large":[43],"or":[44],"already":[45],"segmented.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50,101],"introduce":[51],"ALL-IDB_Patches,":[52],"a":[53,77,105],"novel":[54],"approach":[55],"for":[56,72],"processing":[57],"Whole":[58],"Slide":[59],"Images":[60],"(WSI)":[61],"ALL":[63,73],"take":[65],"advantage":[66],"all":[68],"information":[70],"available":[71],"detection,":[74],"by":[75,87,111],"generating":[76],"larger":[78],"number":[79],"samples":[81],"and":[82],"making":[83],"usable":[86],"DL":[89],"models,":[90],"without":[91],"any":[92],"pre-performed":[93],"segmentation.":[94],"To":[95],"evaluate":[96],"attainable":[98],"classification":[99],"accuracy,":[100],"consider":[102],"OrthoALLNet,":[104],"Convolutional":[106],"Neural":[107],"Network":[108],"(CNN)":[109],"obtained":[110],"imposing":[112],"an":[113],"additional":[114],"orthogonality":[115],"constraint":[116],"on":[117],"learned":[119],"filters.":[120],"experimental":[122],"results":[123],"confirm":[124],"validity":[126],"our":[128],"approach.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}