{"id":"https://openalex.org/W4391250802","doi":"https://doi.org/10.1109/ic3i59117.2023.10397634","title":"An Efficient Breast Cancer Disease Prediction Method using Deep Learning","display_name":"An Efficient Breast Cancer Disease Prediction Method using Deep Learning","publication_year":2023,"publication_date":"2023-09-14","ids":{"openalex":"https://openalex.org/W4391250802","doi":"https://doi.org/10.1109/ic3i59117.2023.10397634"},"language":"en","primary_location":{"id":"doi:10.1109/ic3i59117.2023.10397634","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ic3i59117.2023.10397634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Contemporary Computing and Informatics (IC3I)","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/A5101723021","display_name":"Deepti Sharma","orcid":"https://orcid.org/0000-0002-1899-5443"},"institutions":[{"id":"https://openalex.org/I155284866","display_name":"Maharishi Markandeshwar University, Mullana","ror":"https://ror.org/013qfkw58","country_code":"IN","type":"education","lineage":["https://openalex.org/I155284866"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Deepti Sharma","raw_affiliation_strings":["Maharishi Markandeshwar (Deemed to be University),Department of Computer Engineering MMEC,Mullana Ambala,India","Department of Computer Engineering MMEC, Maharishi Markandeshwar (Deemed to be University), Mullana Ambala, India"],"affiliations":[{"raw_affiliation_string":"Maharishi Markandeshwar (Deemed to be University),Department of Computer Engineering MMEC,Mullana Ambala,India","institution_ids":["https://openalex.org/I155284866"]},{"raw_affiliation_string":"Department of Computer Engineering MMEC, Maharishi Markandeshwar (Deemed to be University), Mullana Ambala, India","institution_ids":["https://openalex.org/I155284866"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101932138","display_name":"Rajneesh Kumar","orcid":"https://orcid.org/0000-0002-8139-3533"},"institutions":[{"id":"https://openalex.org/I155284866","display_name":"Maharishi Markandeshwar University, Mullana","ror":"https://ror.org/013qfkw58","country_code":"IN","type":"education","lineage":["https://openalex.org/I155284866"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajneesh Kumar","raw_affiliation_strings":["Maharishi Markandeshwar (Deemed to be University),Department of Computer Engineering MMEC,Mullana Ambala,India","Department of Computer Engineering MMEC, Maharishi Markandeshwar (Deemed to be University), Mullana Ambala, India"],"affiliations":[{"raw_affiliation_string":"Maharishi Markandeshwar (Deemed to be University),Department of Computer Engineering MMEC,Mullana Ambala,India","institution_ids":["https://openalex.org/I155284866"]},{"raw_affiliation_string":"Department of Computer Engineering MMEC, Maharishi Markandeshwar (Deemed to be University), Mullana Ambala, India","institution_ids":["https://openalex.org/I155284866"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087928099","display_name":"Anurag Jain","orcid":"https://orcid.org/0000-0001-5155-022X"},"institutions":[{"id":"https://openalex.org/I5847235","display_name":"University of Petroleum and Energy Studies","ror":"https://ror.org/04q2jes40","country_code":"IN","type":"education","lineage":["https://openalex.org/I5847235"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anurag Jain","raw_affiliation_strings":["School of Computer Science University of Petroleum &#x0026; Energy Studies,Virtualization Department,Dehradun,Uttarakhand,India"],"affiliations":[{"raw_affiliation_string":"School of Computer Science University of Petroleum &#x0026; Energy Studies,Virtualization Department,Dehradun,Uttarakhand,India","institution_ids":["https://openalex.org/I5847235"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101723021"],"corresponding_institution_ids":["https://openalex.org/I155284866"],"apc_list":null,"apc_paid":null,"fwci":0.1746,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59804742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1094","last_page":"1097"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9940000176429749,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.717750072479248},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6356359720230103},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6288843154907227},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6033481359481812},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.5968097448348999},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.5930144190788269},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5050347447395325},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.4974110424518585},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.4667653739452362},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43673136830329895},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4310178756713867},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2816498279571533},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.13308322429656982},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.11066731810569763}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.717750072479248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6356359720230103},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6288843154907227},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6033481359481812},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.5968097448348999},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5930144190788269},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5050347447395325},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.4974110424518585},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.4667653739452362},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43673136830329895},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4310178756713867},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2816498279571533},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.13308322429656982},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.11066731810569763},{"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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3i59117.2023.10397634","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ic3i59117.2023.10397634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Contemporary Computing and Informatics (IC3I)","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":15,"referenced_works":["https://openalex.org/W2610332124","https://openalex.org/W2944016032","https://openalex.org/W2947939615","https://openalex.org/W2991603289","https://openalex.org/W2996780833","https://openalex.org/W3015320572","https://openalex.org/W3026646233","https://openalex.org/W3049280464","https://openalex.org/W3094910079","https://openalex.org/W3148831051","https://openalex.org/W3167463041","https://openalex.org/W3168997536","https://openalex.org/W4293203179","https://openalex.org/W4308602332","https://openalex.org/W4380142836"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W2750075801","https://openalex.org/W3164948662","https://openalex.org/W2965782936"],"abstract_inverted_index":{"Breast":[0,112],"Cancer":[1,113],"is":[2,11,43,75,118,143],"considerable":[3],"concern":[4],"among":[5],"health":[6,127],"issues":[7],"in":[8,125],"women.":[9],"It":[10,117],"one":[12],"of":[13,25,37,72,85,90,109,133,206],"the":[14,38,73,78,83,88,91,95,100,110,126,134,139,189,203,225],"higher":[15],"mortality":[16],"factors":[17],"when":[18,238],"compared":[19],"to":[20,30,44,76,121,214,224],"other":[21],"cancers.":[22],"Early":[23],"prediction":[24],"cancer":[26],"patients":[27],"helps":[28],"doctors":[29,198],"give":[31],"a":[32,221],"better":[33],"diagnosis":[34],"and":[35,94,138,152,179,208,228,241],"prognosis":[36],"disease.":[39],"The":[40,70,105,130,145,167,185],"study's":[41,186],"goal":[42,71],"assess":[45,122],"how":[46],"well":[47],"proposed":[48],"CNN-based":[49,123],"models":[50,124,135],"perform":[51],"at":[52],"classifying":[53],"patients'":[54,210],"tumour":[55],"types":[56],"as":[57,82],"either":[58],"malignant":[59],"or":[60,68],"benign":[61],"depending":[62],"on":[63],"whether":[64],"they":[65],"are":[66,136,245],"cancerous":[67],"non-cancerous.":[69],"study":[74,106],"identify":[77],"key":[79],"factors,":[80],"such":[81],"number":[84],"convolutional":[86],"layers,":[87],"calibre":[89],"training":[92,141],"data,":[93],"dependent":[96],"variable,":[97],"that":[98,148,191],"influence":[99],"model's":[101],"performance":[102,171],"during":[103],"training.":[104],"makes":[107],"use":[108],"Kaggle-available":[111],"Histopathological":[114],"data":[115,231],"set.":[116],"commonly":[119],"used":[120],"care":[128],"sector.":[129],"classification":[131],"performances":[132],"analysed,":[137],"models'":[140],"efficacy":[142],"assessed.":[144],"work":[146],"demonstrates":[147],"robust":[149],"feature":[150],"representation":[151],"precise":[153],"patient":[154],"predictions":[155],"can":[156,196],"be":[157,233],"achieved":[158],"by":[159],"utilising":[160],"deep":[161,193,242],"learning":[162,194,240,243],"techniques,":[163],"notably":[164],"CNN":[165],"models.":[166],"metrics":[168],"for":[169],"estimation":[170],"were":[172],"97.42%":[173],"accuracy,":[174],"97.39<sup":[175],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[176,181],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">%</sup>":[177,182],"Precision,":[178],"97.45<sup":[180],"Recall,":[183],"respectively.":[184],"findings":[187],"support":[188],"idea":[190],"using":[192],"techniques":[195,244],"help":[197],"make":[199],"accurate":[200],"diagnoses,":[201],"choose":[202],"best":[204],"course":[205],"therapy,":[207],"monitor":[209],"prognoses.":[211],"In":[212],"comparison":[213],"conventional":[215],"procedures,":[216],"it":[217],"substantially":[218],"offers":[219],"clinicians":[220],"solution.":[222],"According":[223],"study,":[226],"managing":[227],"interpreting":[229],"healthcare":[230],"may":[232],"done":[234],"much":[235],"more":[236],"effectively":[237],"machine":[239],"used.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
