{"id":"https://openalex.org/W4416136512","doi":"https://doi.org/10.1109/ipta66025.2025.11222041","title":"Deep Learning-Based Automated Diagnosis for Breast Cancer Classification Using Mammogram Analysis","display_name":"Deep Learning-Based Automated Diagnosis for Breast Cancer Classification Using Mammogram Analysis","publication_year":2025,"publication_date":"2025-10-13","ids":{"openalex":"https://openalex.org/W4416136512","doi":"https://doi.org/10.1109/ipta66025.2025.11222041"},"language":null,"primary_location":{"id":"doi:10.1109/ipta66025.2025.11222041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta66025.2025.11222041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Fourteenth International Conference on Image Processing, Theory, Tools &amp;amp; Applications (IPTA)","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/A5116855225","display_name":"Abdulrahman Aboumadi","orcid":"https://orcid.org/0009-0000-5359-0081"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":true,"raw_author_name":"Abdulrahman Aboumadi","raw_affiliation_strings":["Qatar University,Departement of computer engneering,Doha,Qatar"],"affiliations":[{"raw_affiliation_string":"Qatar University,Departement of computer engneering,Doha,Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017608892","display_name":"Somaya Al-M\u00e1adeed","orcid":"https://orcid.org/0000-0002-0241-2899"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Somaya Al-maadeed","raw_affiliation_strings":["Qatar University,Departement of computer engneering,Doha,Qatar"],"affiliations":[{"raw_affiliation_string":"Qatar University,Departement of computer engneering,Doha,Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5120443089","display_name":"Haya Al-Meraikhi","orcid":null},"institutions":[{"id":"https://openalex.org/I49828101","display_name":"Hamad Medical Corporation","ror":"https://ror.org/02zwb6n98","country_code":"QA","type":"nonprofit","lineage":["https://openalex.org/I49828101"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Haya Al-Meraikhi","raw_affiliation_strings":["Clinical Imaging Service, Hamad Medical Corporation,Doha,Qatar"],"affiliations":[{"raw_affiliation_string":"Clinical Imaging Service, Hamad Medical Corporation,Doha,Qatar","institution_ids":["https://openalex.org/I49828101"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5116855225"],"corresponding_institution_ids":["https://openalex.org/I60342839"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19114885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9750999808311462,"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":0.9750999808311462,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.002300000051036477,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.002199999988079071,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6096000075340271},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.5333999991416931},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.5315999984741211},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45100000500679016},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40220001339912415},{"id":"https://openalex.org/keywords/automated-method","display_name":"Automated method","score":0.3772999942302704},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.30649998784065247}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6754999756813049},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6096000075340271},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.5333999991416931},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5315999984741211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5231000185012817},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45100000500679016},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40220001339912415},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3880000114440918},{"id":"https://openalex.org/C3019060180","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automated method","level":2,"score":0.3772999942302704},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.375},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C2777432617","wikidata":"https://www.wikidata.org/wiki/Q22905905","display_name":"Breast imaging","level":5,"score":0.29010000824928284},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.2849000096321106},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27900001406669617},{"id":"https://openalex.org/C2778491387","wikidata":"https://www.wikidata.org/wiki/Q17011492","display_name":"Breast cancer screening","level":5,"score":0.2703999876976013},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C3018822202","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Patient data","level":2,"score":0.2578999996185303}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipta66025.2025.11222041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta66025.2025.11222041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Fourteenth International Conference on Image Processing, Theory, Tools &amp;amp; Applications (IPTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2183341477","https://openalex.org/W2776937175","https://openalex.org/W2907066882","https://openalex.org/W2984544647","https://openalex.org/W3125522241","https://openalex.org/W3203686404","https://openalex.org/W3211754036","https://openalex.org/W4367181427"],"related_works":[],"abstract_inverted_index":{"Breast":[0],"cancer":[1],"classification":[2],"from":[3,66],"screening":[4],"mammograms":[5],"is":[6],"a":[7,51,74,99],"critical":[8],"yet":[9],"challenging":[10],"task":[11],"due":[12],"to":[13,94],"low":[14],"contrast,":[15],"subtle":[16],"features,":[17],"and":[18,44,78,83,89,114],"the":[19,67,103,126,141],"need":[20],"for":[21,145],"reliable":[22],"automated":[23],"tools.":[24],"While":[25],"recent":[26],"deep":[27],"learning":[28],"methods":[29,124],"often":[30],"depend":[31],"on":[32,56,62,98,150],"ROI":[33],"annotations,":[34],"multi-view":[35],"fusion,":[36],"or":[37],"patch-based":[38],"processing,":[39],"these":[40],"approaches":[41],"introduce":[42],"complexity":[43],"reduce":[45],"clinical":[46],"scalability.":[47],"This":[48],"paper":[49],"proposes":[50],"streamlined,":[52],"annotation-free":[53],"pipeline":[54],"based":[55],"an":[57,106,146],"Inception":[58],"v3":[59],"model":[60,71,104,149],"trained":[61],"full":[63],"mammogram":[64],"images":[65],"CBIS-DDSM":[68,151],"dataset.":[69],"The":[70],"operates":[72],"in":[73],"single-view,":[75],"single-model":[76],"configuration":[77],"incorporates":[79],"contrast":[80],"enhancement":[81],"(CLAHE":[82],"negative":[84],"transforms),":[85],"testtime":[86],"augmentation":[87,93],"(TTA),":[88],"standard":[90,153],"online":[91],"data":[92,154],"boost":[95],"generalization.":[96],"Evaluated":[97],"fixed":[100],"test":[101],"set,":[102],"achieves":[105],"AUC":[107],"of":[108,128,140],"0.8444,":[109],"with":[110],"accuracy,":[111],"precision,":[112],"recall,":[113],"F1-scores":[115],"all":[116],"near":[117],"80%.":[118],"Comparative":[119],"analysis":[120],"against":[121],"seven":[122],"state-of-the-art":[123],"demonstrates":[125],"competitiveness":[127],"this":[129,137],"approach":[130],"under":[131],"realistic":[132],"conditions.":[133],"To":[134],"our":[135],"knowledge,":[136],"represents":[138],"one":[139],"strongest":[142],"performances":[143],"reported":[144],"ROI-free,":[147],"single-view":[148],"using":[152],"splits.":[155]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-10T00:00:00"}
