{"id":"https://openalex.org/W3093937166","doi":"https://doi.org/10.1109/atsip49331.2020.9231684","title":"A survey on deep learning techniques used for breast cancer detection","display_name":"A survey on deep learning techniques used for breast cancer detection","publication_year":2020,"publication_date":"2020-09-01","ids":{"openalex":"https://openalex.org/W3093937166","doi":"https://doi.org/10.1109/atsip49331.2020.9231684","mag":"3093937166"},"language":"en","primary_location":{"id":"doi:10.1109/atsip49331.2020.9231684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip49331.2020.9231684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","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/A5073731298","display_name":"Bochra Jaafar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131288","display_name":"National Engineering School of Tunis","ror":"https://ror.org/03b1zjt31","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]},{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Bochra Jaafar","raw_affiliation_strings":["Signal Image and Information Technology Research Laboratory LR SITI National Engineering School of Tunis ENIT, Tunis El Manar University, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"Signal Image and Information Technology Research Laboratory LR SITI National Engineering School of Tunis ENIT, Tunis El Manar University, Tunis, Tunisia","institution_ids":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005075683","display_name":"Hela Mahersia","orcid":"https://orcid.org/0000-0003-0994-4721"},"institutions":[{"id":"https://openalex.org/I4210131288","display_name":"National Engineering School of Tunis","ror":"https://ror.org/03b1zjt31","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]},{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Hela Mahersia","raw_affiliation_strings":["Signal Image and Information Technology Research Laboratory LR SITI National Engineering School of Tunis ENIT, Tunis El Manar University, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"Signal Image and Information Technology Research Laboratory LR SITI National Engineering School of Tunis ENIT, Tunis El Manar University, Tunis, Tunisia","institution_ids":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063621759","display_name":"Zied Lachiri","orcid":"https://orcid.org/0000-0002-1289-5089"},"institutions":[{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]},{"id":"https://openalex.org/I4210131288","display_name":"National Engineering School of Tunis","ror":"https://ror.org/03b1zjt31","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Zied Lachiri","raw_affiliation_strings":["Signal Image and Information Technology Research Laboratory LR SITI National Engineering School of Tunis ENIT, Tunis El Manar University, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"Signal Image and Information Technology Research Laboratory LR SITI National Engineering School of Tunis ENIT, Tunis El Manar University, Tunis, Tunisia","institution_ids":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073731298"],"corresponding_institution_ids":["https://openalex.org/I4210131288","https://openalex.org/I63596082"],"apc_list":null,"apc_paid":null,"fwci":0.2651,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63867168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9775000214576721,"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/computer-science","display_name":"Computer science","score":0.6206871867179871},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.506822407245636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5043076276779175},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.46664005517959595},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.4268469512462616},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15008452534675598}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6206871867179871},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.506822407245636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5043076276779175},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.46664005517959595},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.4268469512462616},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15008452534675598},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/atsip49331.2020.9231684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip49331.2020.9231684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8500000238418579,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1677573439","https://openalex.org/W1686810756","https://openalex.org/W1972626213","https://openalex.org/W1988452762","https://openalex.org/W2012422904","https://openalex.org/W2015861736","https://openalex.org/W2043565492","https://openalex.org/W2050883594","https://openalex.org/W2062227835","https://openalex.org/W2072128103","https://openalex.org/W2084369411","https://openalex.org/W2093400823","https://openalex.org/W2095705004","https://openalex.org/W2097117768","https://openalex.org/W2112525988","https://openalex.org/W2155541015","https://openalex.org/W2191606157","https://openalex.org/W2216351247","https://openalex.org/W2284539364","https://openalex.org/W2299565249","https://openalex.org/W2307539472","https://openalex.org/W2331812431","https://openalex.org/W2333683836","https://openalex.org/W2338271170","https://openalex.org/W2406842765","https://openalex.org/W2409650203","https://openalex.org/W2436993881","https://openalex.org/W2476370993","https://openalex.org/W2493683088","https://openalex.org/W2510224130","https://openalex.org/W2521782317","https://openalex.org/W2527654160","https://openalex.org/W2547496647","https://openalex.org/W2559553341","https://openalex.org/W2572512422","https://openalex.org/W2618530766","https://openalex.org/W2669514766","https://openalex.org/W2794622599","https://openalex.org/W2969620089","https://openalex.org/W3118608800","https://openalex.org/W4231109964","https://openalex.org/W4294375521","https://openalex.org/W6637304570","https://openalex.org/W6637373629","https://openalex.org/W6674012025","https://openalex.org/W6674330103","https://openalex.org/W6682778277","https://openalex.org/W6714230754","https://openalex.org/W6720725770","https://openalex.org/W6729204975","https://openalex.org/W6881968250"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"Breast":[0],"cancer":[1,49],"represents":[2,22],"the":[3,17,31,39,56,61,87,104,113],"highest":[4],"percentage":[5],"of":[6,24,36,38,89],"cancers":[7,25],"that":[8,37],"affect":[9],"women":[10],"with":[11],"450000":[12],"deaths":[13],"each":[14],"year":[15],"in":[16,27,34,76,86,130],"world.":[18],"In":[19,41,59],"Tunisia,":[20],"it":[21,43],"30%":[23],"diagnosed":[26],"women,":[28],"thus":[29],"occupying":[30],"first":[32],"place":[33],"front":[35],"cervix.":[40],"fact,":[42],"is":[44],"important":[45],"to":[46,54,79,102,126],"identify":[47,127],"breast":[48],"at":[50],"an":[51],"initial":[52],"phase":[53],"decrease":[55],"death":[57],"rate.":[58],"mammograms,":[60],"automatic":[62],"mass":[63],"recognition":[64],"and":[65,71],"classification":[66],"remains":[67],"a":[68,73,81],"significant":[69],"challenge":[70],"plays":[72],"critical":[74],"role":[75],"helping":[77],"radiologists":[78],"make":[80],"precise":[82],"diagnosis.":[83],"Recent":[84],"improvements":[85],"analysis":[88],"biomedical":[90],"images":[91],"using":[92],"neural":[93],"networks":[94],"based":[95],"on":[96],"deep":[97,115],"learning":[98,116],"can":[99,123],"be":[100],"utilized":[101],"improve":[103],"CAD":[105],"systems":[106],"(computer-assisted":[107],"diagnostic)":[108],"performance.":[109],"This":[110],"paper":[111],"presents":[112],"main":[114],"approaches":[117],"used":[118],"for":[119],"mammographic":[120],"images,":[121],"which":[122],"help":[124],"us":[125],"research":[128],"problems":[129],"current":[131],"studies.":[132]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
