{"id":"https://openalex.org/W4410862948","doi":"https://doi.org/10.1007/s44163-025-00335-4","title":"Breast cancer classification using breast ultrasound images with a hybrid of transfer learning and Bayesian-optimized fast learning network","display_name":"Breast cancer classification using breast ultrasound images with a hybrid of transfer learning and Bayesian-optimized fast learning network","publication_year":2025,"publication_date":"2025-05-29","ids":{"openalex":"https://openalex.org/W4410862948","doi":"https://doi.org/10.1007/s44163-025-00335-4"},"language":"en","primary_location":{"id":"doi:10.1007/s44163-025-00335-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00335-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00335-4.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00335-4.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078205498","display_name":"Emmanuel Ahishakiye","orcid":"https://orcid.org/0000-0001-6598-2111"},"institutions":[{"id":"https://openalex.org/I43480833","display_name":"Kyambogo University","ror":"https://ror.org/01wb6tr49","country_code":"UG","type":"education","lineage":["https://openalex.org/I43480833"]}],"countries":["UG"],"is_corresponding":true,"raw_author_name":"Emmanuel Ahishakiye","raw_affiliation_strings":["Department of Networks, Data Science and Artificial Intelligence, Kyambogo University, Kampala, Uganda"],"affiliations":[{"raw_affiliation_string":"Department of Networks, Data Science and Artificial Intelligence, Kyambogo University, Kampala, Uganda","institution_ids":["https://openalex.org/I43480833"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033154845","display_name":"Fredrick Kanobe","orcid":"https://orcid.org/0000-0002-6418-5361"},"institutions":[{"id":"https://openalex.org/I230965063","display_name":"Uganda Management Institute","ror":"https://ror.org/05yh37w40","country_code":"UG","type":"education","lineage":["https://openalex.org/I230965063"]}],"countries":["UG"],"is_corresponding":false,"raw_author_name":"Fredrick Kanobe","raw_affiliation_strings":["Department of Information Technology, Uganda Management Institute, Kampala, Uganda"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Uganda Management Institute, Kampala, Uganda","institution_ids":["https://openalex.org/I230965063"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078205498"],"corresponding_institution_ids":["https://openalex.org/I43480833"],"apc_list":{"value":990,"currency":"EUR","value_usd":1067},"apc_paid":{"value":990,"currency":"EUR","value_usd":1067},"fwci":5.2247,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.94993182,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"5","issue":"1","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":0.9995999932289124,"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":0.9995999932289124,"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":0.9908000230789185,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.6232904195785522},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6169484257698059},{"id":"https://openalex.org/keywords/breast-ultrasound","display_name":"Breast ultrasound","score":0.5587368607521057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.557104229927063},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5409250259399414},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5173353552818298},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.4515596032142639},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4340658187866211},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42429131269454956},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4213216304779053},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.30472803115844727},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.25633594393730164},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.25578606128692627},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.23088639974594116},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.11611193418502808}],"concepts":[{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6232904195785522},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6169484257698059},{"id":"https://openalex.org/C2777423100","wikidata":"https://www.wikidata.org/wiki/Q1888238","display_name":"Breast ultrasound","level":5,"score":0.5587368607521057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.557104229927063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5409250259399414},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5173353552818298},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.4515596032142639},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4340658187866211},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42429131269454956},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4213216304779053},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.30472803115844727},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.25633594393730164},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.25578606128692627},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.23088639974594116},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.11611193418502808}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44163-025-00335-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00335-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00335-4.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bac4edc84e5d408aa34fc944508781b4","is_oa":true,"landing_page_url":"https://doaj.org/article/bac4edc84e5d408aa34fc944508781b4","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Discover Artificial Intelligence, Vol 5, Iss 1, Pp 1-17 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44163-025-00335-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00335-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00335-4.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410862948.pdf","grobid_xml":"https://content.openalex.org/works/W4410862948.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W2749818146","https://openalex.org/W2910121883","https://openalex.org/W2963395517","https://openalex.org/W2991372685","https://openalex.org/W3092526504","https://openalex.org/W3100321043","https://openalex.org/W3157428506","https://openalex.org/W3198659451","https://openalex.org/W4213094779","https://openalex.org/W4313583499","https://openalex.org/W4321376625","https://openalex.org/W4376117660","https://openalex.org/W4379144958","https://openalex.org/W4382653155","https://openalex.org/W4383888035","https://openalex.org/W4386137901","https://openalex.org/W4387150640","https://openalex.org/W4388459526","https://openalex.org/W4388482132","https://openalex.org/W4388713458","https://openalex.org/W4388894565","https://openalex.org/W4392103637","https://openalex.org/W4393234004","https://openalex.org/W4394727442","https://openalex.org/W4396611616","https://openalex.org/W4403576913"],"related_works":["https://openalex.org/W3108039862","https://openalex.org/W2618954822","https://openalex.org/W3168857173","https://openalex.org/W4405781586","https://openalex.org/W1990605602","https://openalex.org/W31474833","https://openalex.org/W2348815573","https://openalex.org/W4283075545","https://openalex.org/W2896805445","https://openalex.org/W2101706338"],"abstract_inverted_index":{"Abstract":[0],"Breast":[1],"cancer":[2,7,62,176],"is":[3,24,79],"the":[4,33,36,137],"most":[5],"prevalent":[6],"among":[8],"women":[9],"globally,":[10],"with":[11,53,82,120],"over":[12],"2.3":[13],"million":[14],"new":[15],"cases":[16],"reported":[17],"annually,":[18],"hence,":[19],"early":[20],"and":[21,95,115,126,131,141,165],"accurate":[22],"diagnosis":[23],"crucial":[25],"in":[26],"minimizing":[27],"mortality":[28],"rates.":[29],"In":[30],"light":[31],"of":[32,39,104,109,113,118,123],"limitation":[34],"on":[35],"conventional":[37],"interpretation":[38],"images,":[40],"this":[41],"study":[42],"presents":[43],"a":[44,54,111,116,168],"novel":[45],"hybrid":[46,152],"model":[47,100],"that":[48],"integrates":[49],"DenseNet201-based":[50],"transfer":[51],"learning":[52,91],"Bayesian-Optimized":[55],"Fast":[56],"Learning":[57],"Network":[58],"(FLN)":[59],"for":[60,128,173],"breast":[61,175],"classification":[63],"from":[64,75],"ultrasound":[65],"images.":[66],"DenseNet201":[67],"was":[68],"employed":[69],"to":[70,85,144],"obtain":[71],"robust,":[72],"high-quality":[73],"features":[74],"pre-trained":[76],"weights.":[77],"FLN":[78],"finely":[80],"tuned":[81],"Bayesian":[83],"optimization":[84],"select":[86],"optimal":[87],"hyperparameters":[88],"such":[89],"as":[90],"rate,":[92],"hidden":[93],"neurons,":[94],"dropout":[96],"rate.":[97],"The":[98,150],"proposed":[99],"achieved":[101],"an":[102,106],"accuracy":[103],"96.79%,":[105],"F1":[107],"score":[108],"94.71%,":[110],"precision":[112],"96.81%,":[114],"recall":[117],"93.48%":[119],"AUC":[121],"scores":[122],"0.96,":[124],"0.95,":[125],"0.98":[127],"benign,":[129],"malignant,":[130],"normal":[132],"classes.":[133],"These":[134],"results":[135],"underscore":[136],"model\u2019s":[138],"balanced":[139],"performance":[140],"its":[142],"ability":[143],"minimize":[145],"misclassifications,":[146],"particularly":[147],"false":[148],"positives.":[149],"end-to-end":[151],"approach":[153],"not":[154],"only":[155],"outperforms":[156],"several":[157],"state-of-the-art":[158],"models":[159],"but":[160],"also":[161],"demonstrates":[162],"improved":[163],"generalization":[164],"stability,":[166],"offering":[167],"promising,":[169],"clinically":[170],"viable":[171],"tool":[172],"enhancing":[174],"diagnosis.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}