{"id":"https://openalex.org/W3164823959","doi":"https://doi.org/10.1109/isbi48211.2021.9433871","title":"Embedded Regularization For Classification Of Colposcopic Images","display_name":"Embedded Regularization For Classification Of Colposcopic Images","publication_year":2021,"publication_date":"2021-04-13","ids":{"openalex":"https://openalex.org/W3164823959","doi":"https://doi.org/10.1109/isbi48211.2021.9433871","mag":"3164823959"},"language":"en","primary_location":{"id":"doi:10.1109/isbi48211.2021.9433871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9433871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5083358636","display_name":"Tom\u00e9 Albuquerque","orcid":"https://orcid.org/0000-0003-3246-7206"},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Tome Albuquerque","raw_affiliation_strings":["Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal","institution_ids":["https://openalex.org/I4210166615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013827007","display_name":"Jaime S. Cardoso","orcid":"https://orcid.org/0000-0002-3760-2473"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Jaime S. Cardoso","raw_affiliation_strings":["Faculty of Engineering of the University of Porto, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering of the University of Porto, Porto, Portugal","institution_ids":["https://openalex.org/I182534213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1920","last_page":"1923"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10146","display_name":"Cervical Cancer and HPV Research","score":0.975600004196167,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10146","display_name":"Cervical Cancer and HPV Research","score":0.975600004196167,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T10862","display_name":"AI in cancer detection","score":0.967199981212616,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6821377873420715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6163976788520813},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5915467143058777},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.548892617225647},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5483673810958862},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5378835201263428},{"id":"https://openalex.org/keywords/cervical-cancer","display_name":"Cervical cancer","score":0.5004844665527344},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4473775327205658},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4439118504524231},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4264484941959381},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.42599672079086304},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4190235435962677},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2365036904811859},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.21055856347084045},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2036391794681549},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1511676013469696}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6821377873420715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6163976788520813},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5915467143058777},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.548892617225647},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5483673810958862},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5378835201263428},{"id":"https://openalex.org/C2778220009","wikidata":"https://www.wikidata.org/wiki/Q160105","display_name":"Cervical cancer","level":3,"score":0.5004844665527344},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4473775327205658},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4439118504524231},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4264484941959381},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.42599672079086304},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4190235435962677},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2365036904811859},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.21055856347084045},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2036391794681549},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1511676013469696},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi48211.2021.9433871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9433871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th 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":8,"referenced_works":["https://openalex.org/W1979319218","https://openalex.org/W2523506545","https://openalex.org/W2526421605","https://openalex.org/W2958087783","https://openalex.org/W2999417355","https://openalex.org/W6633658626","https://openalex.org/W6645182988","https://openalex.org/W6727739945"],"related_works":["https://openalex.org/W3201126466","https://openalex.org/W4282827391","https://openalex.org/W3176438653","https://openalex.org/W2981628807","https://openalex.org/W3012393889","https://openalex.org/W4379875147","https://openalex.org/W3189091156","https://openalex.org/W3014041368","https://openalex.org/W4386087993","https://openalex.org/W4285815841"],"abstract_inverted_index":{"Cervical":[0],"cancer":[1,8,38,123],"ranks":[2],"as":[3,72],"the":[4,21,50,69,76,90,97,104],"fourth":[5],"most":[6],"common":[7],"among":[9],"females":[10],"worldwide":[11],"with":[12,49,114],"roughly":[13],"528,000":[14],"new":[15],"cases":[16],"yearly.":[17],"Significant":[18],"progress":[19],"in":[20,27,125],"realm":[22],"of":[23,68,75,96,121],"artificial":[24],"intelligence":[25],"particularly":[26],"neural":[28],"networks":[29],"and":[30,118],"deep":[31],"learning":[32,117],"help":[33],"physicians":[34],"to":[35,57,92],"diagnose":[36],"cervical":[37,122],"more":[39,101],"accurately.":[40],"In":[41,55],"this":[42],"paper,":[43],"we":[44],"address":[45],"a":[46,63,84],"classification":[47,58,105,124],"problem":[48],"widely":[51],"used":[52],"VGG16":[53],"architecture.":[54],"addition":[56],"error,":[59],"our":[60],"model":[61,91],"considers":[62],"regularization":[64,81],"part":[65],"during":[66],"tuning":[67],"weights,":[70],"acting":[71],"prior":[73],"knowledge":[74],"colposcopic":[77],"image.":[78],"This":[79],"embedded":[80],"approach,":[82],"using":[83],"2D":[85],"Gaussian":[86],"kernel,":[87],"has":[88],"enabled":[89],"learn":[93],"which":[94],"sections":[95],"medical":[98],"images":[99],"are":[100],"crucial":[102],"for":[103],"task.":[106],"The":[107],"experimental":[108],"results":[109],"show":[110],"an":[111],"improvement":[112],"compared":[113],"standard":[115],"transfer":[116],"multimodal":[119],"approaches":[120],"literature.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
