{"id":"https://openalex.org/W4408998001","doi":"https://doi.org/10.3390/info16040278","title":"AI-Based Breast Cancer Detection System: Deep Learning and Machine Learning Approaches for Ultrasound Image Analysis","display_name":"AI-Based Breast Cancer Detection System: Deep Learning and Machine Learning Approaches for Ultrasound Image Analysis","publication_year":2025,"publication_date":"2025-03-30","ids":{"openalex":"https://openalex.org/W4408998001","doi":"https://doi.org/10.3390/info16040278"},"language":"en","primary_location":{"id":"doi:10.3390/info16040278","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info16040278","pdf_url":"https://www.mdpi.com/2078-2489/16/4/278/pdf?version=1743301242","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/16/4/278/pdf?version=1743301242","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116443778","display_name":"Amro Moursi","orcid":null},"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":"Amro Moursi","raw_affiliation_strings":["Department of Computer Science and Engineering, College of Engineering, Qatar University, Doha 2713, Qatar"],"raw_orcid":"https://orcid.org/0009-0005-2659-4534","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, College of Engineering, Qatar University, Doha 2713, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"middle","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":["Department of Computer Science and Engineering, College of Engineering, Qatar University, Doha 2713, Qatar"],"raw_orcid":"https://orcid.org/0009-0000-5359-0081","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, College of Engineering, Qatar University, Doha 2713, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039299960","display_name":"Uvais Qidwai","orcid":"https://orcid.org/0000-0002-9924-590X"},"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":"Uvais Qidwai","raw_affiliation_strings":["Department of Computer Science and Engineering, College of Engineering, Qatar University, Doha 2713, Qatar"],"raw_orcid":"https://orcid.org/0000-0002-9924-590X","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, College of Engineering, Qatar University, Doha 2713, Qatar","institution_ids":["https://openalex.org/I60342839"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5116443778","https://openalex.org/A5116855225"],"corresponding_institution_ids":["https://openalex.org/I60342839"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":10.1155,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.97764806,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"16","issue":"4","first_page":"278","last_page":"278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9825000166893005,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9718999862670898,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6024209260940552},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5459581017494202},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5387083292007446},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.5382468700408936},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.5341410040855408},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.37748464941978455},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37259727716445923},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32022523880004883},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.27555370330810547},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.2650252878665924},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.09287795424461365}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6024209260940552},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5459581017494202},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5387083292007446},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5382468700408936},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.5341410040855408},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.37748464941978455},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37259727716445923},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32022523880004883},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.27555370330810547},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.2650252878665924},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.09287795424461365}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/info16040278","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info16040278","pdf_url":"https://www.mdpi.com/2078-2489/16/4/278/pdf?version=1743301242","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ec697f6cdad1410ea923d4e4310c1e04","is_oa":true,"landing_page_url":"https://doaj.org/article/ec697f6cdad1410ea923d4e4310c1e04","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 16, Iss 4, p 278 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/info16040278","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info16040278","pdf_url":"https://www.mdpi.com/2078-2489/16/4/278/pdf?version=1743301242","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4408998001.pdf"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W2097117768","https://openalex.org/W2122111042","https://openalex.org/W2129112648","https://openalex.org/W2133059825","https://openalex.org/W2160408484","https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2811123232","https://openalex.org/W2991372685","https://openalex.org/W3206383369","https://openalex.org/W4213009331","https://openalex.org/W4239510810","https://openalex.org/W4249179470","https://openalex.org/W4392716440","https://openalex.org/W6753158970"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W4375867731","https://openalex.org/W2351153092","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4405112912","https://openalex.org/W4294635752","https://openalex.org/W2375584271","https://openalex.org/W4380075502"],"abstract_inverted_index":{"This":[0,115],"work":[1,116],"addresses":[2],"the":[3,7,128],"critical":[4],"need":[5],"for":[6,107,133],"early":[8,131],"detection":[9,38,81],"of":[10,21,95,130],"breast":[11,36,124],"cancer,":[12],"a":[13,19,31,99,118],"significant":[14],"health":[15],"concern":[16],"worldwide.":[17],"Using":[18],"combination":[20],"advanced":[22],"deep":[23],"learning":[24,27],"and":[25,50,60,113],"machine":[26,63],"techniques,":[28],"we":[29,65],"offer":[30],"comprehensive":[32],"solution":[33],"to":[34,79],"enhance":[35],"cancer":[37,125],"accuracy.":[39],"By":[40],"leveraging":[41],"state-of-the-art":[42],"convolutional":[43],"neural":[44],"networks":[45],"(CNNs)":[46],"like":[47],"GoogLeNet,":[48],"AlexNet,":[49],"ResNet18,":[51],"alongside":[52],"traditional":[53],"classifiers":[54],"such":[55],"as":[56],"k-nearest":[57],"neighbors":[58],"(KNN)":[59],"support":[61],"vector":[62],"(SVM),":[64],"ensure":[66],"robust":[67],"prediction":[68],"capabilities.":[69],"Our":[70],"preprocessing":[71],"methods":[72],"significantly":[73],"improve":[74],"input":[75],"data":[76],"quality,":[77],"leading":[78],"promising":[80],"accuracies.":[82],"For":[83],"instance,":[84],"ResNet-18":[85],"achieved":[86],"impressive":[87],"results,":[88],"outperforming":[89],"other":[90],"models.":[91],"Furthermore,":[92],"our":[93],"integration":[94],"these":[96],"algorithms":[97],"into":[98],"user-friendly":[100],"MATLAB":[101],"R2024b":[102],"application":[103],"ensures":[104],"easy":[105],"access":[106],"medical":[108],"professionals,":[109],"facilitating":[110],"timely":[111],"diagnosis":[112],"treatment.":[114],"represents":[117],"vital":[119],"step":[120],"towards":[121],"more":[122],"effective":[123],"diagnosis,":[126],"underscoring":[127],"importance":[129],"intervention":[132],"improved":[134],"patient":[135],"outcomes.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}