{"id":"https://openalex.org/W4396878638","doi":"https://doi.org/10.1145/3644713.3644769","title":"Categorization of Digital Pathology Image using Deep Learning model","display_name":"Categorization of Digital Pathology Image using Deep Learning model","publication_year":2023,"publication_date":"2023-12-21","ids":{"openalex":"https://openalex.org/W4396878638","doi":"https://doi.org/10.1145/3644713.3644769"},"language":"en","primary_location":{"id":"doi:10.1145/3644713.3644769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3644713.3644769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Conference on Future Networks and Distributed Systems","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/A5032218268","display_name":"Sana Sahar Guia","orcid":"https://orcid.org/0000-0001-9101-5491"},"institutions":[{"id":"https://openalex.org/I4210154551","display_name":"Centre Hospitalo-Universitaire Bab El Oued","ror":"https://ror.org/05qf3bt68","country_code":"DZ","type":"healthcare","lineage":["https://openalex.org/I4210154551"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Sana Sahar Guia","raw_affiliation_strings":["LIAP Laboratory, University of El Oued, Algeria"],"raw_orcid":"https://orcid.org/0000-0001-9101-5491","affiliations":[{"raw_affiliation_string":"LIAP Laboratory, University of El Oued, Algeria","institution_ids":["https://openalex.org/I4210154551"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006883497","display_name":"Abdelkader Laouid","orcid":"https://orcid.org/0000-0002-8175-8467"},"institutions":[{"id":"https://openalex.org/I4210154551","display_name":"Centre Hospitalo-Universitaire Bab El Oued","ror":"https://ror.org/05qf3bt68","country_code":"DZ","type":"healthcare","lineage":["https://openalex.org/I4210154551"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Abdelkader Laouid","raw_affiliation_strings":["LIAP Laboratory, University of El Oued, Algeria"],"raw_orcid":"https://orcid.org/0000-0002-8175-8467","affiliations":[{"raw_affiliation_string":"LIAP Laboratory, University of El Oued, Algeria","institution_ids":["https://openalex.org/I4210154551"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026410839","display_name":"Khaled Chait","orcid":"https://orcid.org/0000-0001-8744-3901"},"institutions":[{"id":"https://openalex.org/I4210154551","display_name":"Centre Hospitalo-Universitaire Bab El Oued","ror":"https://ror.org/05qf3bt68","country_code":"DZ","type":"healthcare","lineage":["https://openalex.org/I4210154551"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Khaled Chait","raw_affiliation_strings":["LIAP Laboratory, University of El Oued, Algeria"],"raw_orcid":"https://orcid.org/0000-0001-8744-3901","affiliations":[{"raw_affiliation_string":"LIAP Laboratory, University of El Oued, Algeria","institution_ids":["https://openalex.org/I4210154551"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210154551"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2244755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"397","last_page":"402"},"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":0.9987000226974487,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9900000095367432,"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/softmax-function","display_name":"Softmax function","score":0.9199512004852295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7949243187904358},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7685174942016602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7241882681846619},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6475971341133118},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6029573678970337},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5763079524040222},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.575446605682373},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.5207369327545166},{"id":"https://openalex.org/keywords/digital-pathology","display_name":"Digital pathology","score":0.5148845911026001},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.4951530992984772},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4573670029640198},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4214162528514862},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4181063175201416},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3717445135116577}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.9199512004852295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7949243187904358},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7685174942016602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7241882681846619},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6475971341133118},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6029573678970337},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5763079524040222},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.575446605682373},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.5207369327545166},{"id":"https://openalex.org/C2777522853","wikidata":"https://www.wikidata.org/wiki/Q5276128","display_name":"Digital pathology","level":2,"score":0.5148845911026001},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.4951530992984772},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4573670029640198},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4214162528514862},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4181063175201416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3717445135116577},{"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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3644713.3644769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3644713.3644769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Conference on Future Networks and Distributed Systems","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":13,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2100125385","https://openalex.org/W2194775991","https://openalex.org/W2497979631","https://openalex.org/W2772723798","https://openalex.org/W2884585870","https://openalex.org/W3040693985","https://openalex.org/W3090302971","https://openalex.org/W4366775414","https://openalex.org/W4367319238","https://openalex.org/W4386500397","https://openalex.org/W4386859501","https://openalex.org/W6674970907"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W3108503355","https://openalex.org/W2980176872","https://openalex.org/W4226420367","https://openalex.org/W2962876041","https://openalex.org/W3090555870","https://openalex.org/W3047363187","https://openalex.org/W3119773509","https://openalex.org/W3177373753"],"abstract_inverted_index":{"Computer-aided":[0],"detection":[1,28,132],"and":[2,41,65,103,110,142],"diagnosis":[3],"have":[4],"transformed":[5],"the":[6,22,47,53,57,126,137],"medical":[7],"research":[8],"landscape,":[9],"particularly":[10],"in":[11,25,52,124,133,145],"colorectal":[12,26,130],"carcinoma.":[13],"This":[14],"paper":[15],"introduces":[16],"a":[17,30,36,42,91,100],"novel":[18],"approach":[19,120],"to":[20,62,78],"address":[21],"multi-class":[23],"challenge":[24],"cancer":[27,131],"using":[29],"fully":[31,58],"convolutional":[32,38,59],"network":[33,40],"augmented":[34],"with":[35,96,106,129],"pre-trained":[37],"neural":[39],"spatial":[43],"attention":[44,143],"module.":[45],"Specifically,":[46],"proposed":[48,119],"model":[49],"employs":[50],"ResNet-50":[51],"contracting":[54],"path":[55],"of":[56,139],"network,":[60],"leading":[61],"dimensionality":[63,70],"reduction":[64,71],"feature":[66],"extraction.":[67],"A":[68],"unique":[69],"technique":[72],"utilizing":[73],"standard":[74],"deviation":[75],"is":[76],"introduced":[77],"optimize":[79],"data":[80],"representation":[81],"while":[82],"managing":[83],"computational":[84],"complexity.":[85],"The":[86,118],"model\u2019s":[87],"architectural":[88],"design":[89],"involves":[90],"carefully":[92],"curated":[93],"head":[94],"part":[95],"fourteen":[97],"layers,":[98],"including":[99],"dropout":[101],"layer":[102],"dense":[104],"layers":[105],"rectified":[107],"linear":[108],"units":[109],"softmax":[111],"activation":[112],"functions":[113],"for":[114],"accurate":[115],"image":[116],"categorization.":[117],"demonstrates":[121],"promising":[122],"results":[123],"addressing":[125],"challenges":[127],"associated":[128],"digital":[134],"pathology,":[135],"showcasing":[136],"potential":[138],"deep":[140],"learning":[141],"mechanisms":[144],"enhancing":[146],"classification":[147],"accuracy.":[148]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
