{"id":"https://openalex.org/W4393036343","doi":"https://doi.org/10.1109/dese60595.2023.10469341","title":"Explainable AI for Breast Cancer Detection: A LIME-Driven Approach","display_name":"Explainable AI for Breast Cancer Detection: A LIME-Driven Approach","publication_year":2023,"publication_date":"2023-12-18","ids":{"openalex":"https://openalex.org/W4393036343","doi":"https://doi.org/10.1109/dese60595.2023.10469341"},"language":"en","primary_location":{"id":"doi:10.1109/dese60595.2023.10469341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dese60595.2023.10469341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 16th International Conference on Developments in eSystems Engineering (DeSE)","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/A5010255072","display_name":"Tarek Khater","orcid":"https://orcid.org/0009-0009-4603-8139"},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Tarek Khater","raw_affiliation_strings":["University of Sharjah,Dept. of Electrical Engineering,Sharjah,United Arab Emirates","Dept. of Electrical Engineering, University of Sharjah, Sharjah, United Arab Emirates"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sharjah,Dept. of Electrical Engineering,Sharjah,United Arab Emirates","institution_ids":["https://openalex.org/I29891158"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, University of Sharjah, Sharjah, United Arab Emirates","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025789067","display_name":"Abir Hussain","orcid":"https://orcid.org/0000-0001-8413-0045"},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Abir Hussain","raw_affiliation_strings":["University of Sharjah,Dept. of Electrical Engineering,Sharjah,United Arab Emirates","Dept. of Electrical Engineering, University of Sharjah, Sharjah, United Arab Emirates"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sharjah,Dept. of Electrical Engineering,Sharjah,United Arab Emirates","institution_ids":["https://openalex.org/I29891158"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, University of Sharjah, Sharjah, United Arab Emirates","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001164203","display_name":"Soliman A. Mahmoud","orcid":"https://orcid.org/0000-0003-0581-1796"},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Soliman Mahmoud","raw_affiliation_strings":["University of Khorfakan,Sharjah,United Arab Emirates","University of Khorfakan, Sharjah, United Arab Emirates"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Khorfakan,Sharjah,United Arab Emirates","institution_ids":["https://openalex.org/I29891158"]},{"raw_affiliation_string":"University of Khorfakan, Sharjah, United Arab Emirates","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002617852","display_name":"Salwa Yasen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Salwa Yasen","raw_affiliation_strings":["Christiana Hartly medical centre, 5 Curzon Road,Southport,United Kingdom,PR8 6P"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Christiana Hartly medical centre, 5 Curzon Road,Southport,United Kingdom,PR8 6P","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9799,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.93331408,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"540","last_page":"545"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9937999844551086,"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":0.9937999844551086,"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":0.9702000021934509,"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":0.9646000266075134,"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/breast-cancer","display_name":"Breast cancer","score":0.5742697715759277},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5587599277496338},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.46684229373931885},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4276079535484314},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2013029158115387},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.12091311812400818}],"concepts":[{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5742697715759277},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5587599277496338},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.46684229373931885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4276079535484314},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2013029158115387},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.12091311812400818}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dese60595.2023.10469341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dese60595.2023.10469341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 16th International Conference on Developments in eSystems Engineering (DeSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1969557815","https://openalex.org/W2560617289","https://openalex.org/W2892741787","https://openalex.org/W2900206120","https://openalex.org/W2955748575","https://openalex.org/W3016087461","https://openalex.org/W3105107900","https://openalex.org/W3176714582","https://openalex.org/W4200451067","https://openalex.org/W4224997159","https://openalex.org/W4280631180","https://openalex.org/W4291520195","https://openalex.org/W4296776284","https://openalex.org/W4386124574","https://openalex.org/W4386400489","https://openalex.org/W4386609216","https://openalex.org/W4387247267","https://openalex.org/W4387247270","https://openalex.org/W4387394813","https://openalex.org/W6785850824"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Artificial":[0],"Intelligence":[1],"is":[2,54,215],"transforming":[3],"the":[4,9,18,36,42,69,85,107,138,160,209,219,229,249,253],"healthcare":[5],"industry":[6],"due":[7],"to":[8,55,60,82,137,195],"increasing":[10],"accessibility":[11],"of":[12,21,38,44,51,65,110,132,162,175,188,252],"organized":[13],"and":[14,17,41,130,165,191,241,259],"unorganized":[15],"information":[16],"rapid":[19],"development":[20],"analytical":[22],"techniques.":[23],"As":[24],"artificial":[25],"intelligence":[26],"becomes":[27],"more":[28,257],"significant":[29,108],"in":[30,46],"healthcare,":[31],"concerns":[32],"are":[33],"arising":[34],"regarding":[35],"lack":[37],"transparency,":[39],"explainability,":[40],"possibility":[43],"bias":[45],"model":[47,87],"predictions.":[48,119,177],"The":[49,149,204],"goal":[50],"this":[52],"paper":[53],"utilize":[56],"interpretable":[57,258],"machine":[58],"learning":[59],"provide":[61,245],"a":[62,100,146,153,172],"better":[63],"understanding":[64],"breast":[66,90,262],"cancer":[67,91,263],"using":[68],"Local":[70,78],"Interpretable":[71,79],"Model-agnostic":[72],"Method":[73],"(LIME).":[74],"This":[75],"study":[76,150,230],"uses":[77],"Model-Agnostic":[80],"Explanations":[81],"explain":[83],"how":[84],"machine-learning":[86],"accurately":[88],"classifies":[89],"cases":[92],"as":[93],"either":[94],"Benign":[95,104,118,139],"or":[96],"Malignant.":[97],"It":[98],"provides":[99,231],"LIME":[101,154],"plot":[102,155],"for":[103,156,234,261],"cases,":[105,158],"highlighting":[106],"role":[109],"\"Bare":[111,163],"Nuclei\"":[112,164],"where":[113,168],"lower":[114],"values":[115,170,200],"strongly":[116],"suggest":[117],"Other":[120,178],"features":[121,179],"like":[122,180],"Normal":[123,181],"Nucleoli,":[124,182],"Marginal":[125,183],"adhesion,":[126,128,184],"single":[127],"Mitoses,":[129],"uniformity":[131,187],"cell":[133,189],"size":[134],"also":[135,151,193],"contribute":[136,194],"class":[140],"prediction":[141],"when":[142,198,213,224],"they":[143],"fall":[144],"below":[145,216],"particular":[147],"threshold.":[148],"presents":[152],"Malignant":[157,176,196,235],"emphasizing":[159],"importance":[161],"Clump":[166],"thickness,":[167],"higher":[169,173],"indicate":[171],"likelihood":[174],"Bland":[185],"chromatin,":[186],"size,":[190],"Mitoses":[192],"predictions":[197,212,223,236],"their":[199],"exceed":[201],"specific":[202],"thresholds.":[203],"feature":[205,221],"\"Concave":[206,239],"points_worst\"":[207,240],"influences":[208],"model\u2019s":[210],"benign":[211],"it":[214,225,256],"0.07,":[217],"while":[218],"\"texture\"":[220],"affects":[222],"exceeds":[226],"29.41.":[227],"Furthermore,":[228],"further":[232],"explanations":[233],"based":[237],"on":[238],"\"Texture.\"":[242],"These":[243],"findings":[244],"valuable":[246],"insights":[247],"into":[248],"decision-making":[250],"process":[251],"model,":[254],"making":[255],"useful":[260],"diagnosis.":[264]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":3}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}