{"id":"https://openalex.org/W4408041398","doi":"https://doi.org/10.1177/18724981251318190","title":"Breast cancer image analysis utilizing feature fusion-based hybrid classification network influenced by adaptive u-net with generative adversarial segmentation network","display_name":"Breast cancer image analysis utilizing feature fusion-based hybrid classification network influenced by adaptive u-net with generative adversarial segmentation network","publication_year":2025,"publication_date":"2025-02-27","ids":{"openalex":"https://openalex.org/W4408041398","doi":"https://doi.org/10.1177/18724981251318190"},"language":"en","primary_location":{"id":"doi:10.1177/18724981251318190","is_oa":true,"landing_page_url":"https://doi.org/10.1177/18724981251318190","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/18724981251318190","source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Decision Technologies","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://journals.sagepub.com/doi/pdf/10.1177/18724981251318190","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025883422","display_name":"Rathlavath Kalavathi","orcid":null},"institutions":[{"id":"https://openalex.org/I8975392","display_name":"Osmania University","ror":"https://ror.org/030sjb889","country_code":"IN","type":"education","lineage":["https://openalex.org/I8975392"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Rathlavath Kalavathi","raw_affiliation_strings":["Department of Computer Science and Engineering, Osmania University, Hyderabad, Telangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Osmania University, Hyderabad, Telangana, India","institution_ids":["https://openalex.org/I8975392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078610375","display_name":"M. Swamy Das","orcid":null},"institutions":[{"id":"https://openalex.org/I134892692","display_name":"Chaitanya Bharathi Institute of Technology","ror":"https://ror.org/047ymzq84","country_code":"IN","type":"education","lineage":["https://openalex.org/I134892692"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M Swamy Das","raw_affiliation_strings":["Professor &amp; Joint Director (Informatics), Department of CSE, Chaitanya Bharati Institute of Technology, Gandipet, Hyderabad, Telangana, India","Professor & Joint Director (Informatics), Department of CSE, Chaitanya Bharati Institute of Technology, Gandipet, Hyderabad, Telangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Professor &amp; Joint Director (Informatics), Department of CSE, Chaitanya Bharati Institute of Technology, Gandipet, Hyderabad, Telangana, India","institution_ids":["https://openalex.org/I134892692"]},{"raw_affiliation_string":"Professor & Joint Director (Informatics), Department of CSE, Chaitanya Bharati Institute of Technology, Gandipet, Hyderabad, Telangana, India","institution_ids":["https://openalex.org/I134892692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025883422"],"corresponding_institution_ids":["https://openalex.org/I8975392"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01317791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"3","first_page":"1400","last_page":"1428"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9939000010490417,"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":0.9939000010490417,"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":0.9257000088691711,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.923799991607666,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6565915942192078},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6430027484893799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6315059661865234},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6139318346977234},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5979412794113159},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.558867335319519},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.47250330448150635},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4581100642681122},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44047653675079346},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.43925541639328003},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42182135581970215},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15637406706809998}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6565915942192078},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6430027484893799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6315059661865234},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6139318346977234},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5979412794113159},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.558867335319519},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.47250330448150635},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4581100642681122},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44047653675079346},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.43925541639328003},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42182135581970215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15637406706809998},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/18724981251318190","is_oa":true,"landing_page_url":"https://doi.org/10.1177/18724981251318190","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/18724981251318190","source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Decision Technologies","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1177/18724981251318190","is_oa":true,"landing_page_url":"https://doi.org/10.1177/18724981251318190","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/18724981251318190","source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Decision Technologies","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2594727603","https://openalex.org/W2803773316","https://openalex.org/W2912354537","https://openalex.org/W2929968583","https://openalex.org/W2965713809","https://openalex.org/W2985778816","https://openalex.org/W2996935211","https://openalex.org/W3023402959","https://openalex.org/W3037889230","https://openalex.org/W3080805846","https://openalex.org/W3083756345","https://openalex.org/W3096418173","https://openalex.org/W3126637267","https://openalex.org/W3130908143","https://openalex.org/W3144883044","https://openalex.org/W3163936961","https://openalex.org/W3175648942","https://openalex.org/W3179292964","https://openalex.org/W3195475698","https://openalex.org/W4282982312","https://openalex.org/W4312128858","https://openalex.org/W4312574105","https://openalex.org/W4318038578","https://openalex.org/W4318586178","https://openalex.org/W4327522282","https://openalex.org/W4362506797","https://openalex.org/W4379468042","https://openalex.org/W4379745615","https://openalex.org/W4385635804","https://openalex.org/W4386121635","https://openalex.org/W4386365388","https://openalex.org/W4386432097","https://openalex.org/W4387385665","https://openalex.org/W4388642365","https://openalex.org/W4388713458","https://openalex.org/W4388854585","https://openalex.org/W4389483586","https://openalex.org/W4390768082","https://openalex.org/W4391145932","https://openalex.org/W4391235341","https://openalex.org/W4391992303"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4235873501"],"abstract_inverted_index":{"Nowadays,":[0],"breast":[1,23,46,68,83,162,274,290],"cancer":[2,84,163,275,291],"is":[3,29,48,62,101,134,168,223,255],"a":[4,73,140],"very":[5,30,49],"dangerous":[6],"sickness":[7],"among":[8],"women":[9],"though":[10],"well-timed":[11],"identification":[12],"relatively":[13],"enhances":[14],"the":[15,22,38,45,55,79,92,98,104,116,123,144,147,153,161,184,188,192,215,228,232,262,277,283],"rate":[16,186],"of":[17,34,54,82,94,118,132,143,160,187,214,231,265,279,287],"survival.":[18,96],"To":[19],"win":[20],"over":[21,191],"tumor,":[24],"an":[25,66,108],"effective":[26],"diagnosis":[27],"mechanism":[28],"necessary.":[31],"The":[32,129,212],"removal":[33],"tumor":[35,47,56,69],"cells":[36],"from":[37],"affected":[39],"area":[40],"stay":[41],"as":[42],"challenging.":[43],"Classifying":[44],"challenging":[50],"for":[51,218,241,252,273,289],"pathologists":[52],"because":[53],"cell's":[57],"heterogeneous":[58],"nature.":[59],"Hence,":[60],"it":[61],"important":[63],"to":[64,90,135,152,170,182,269],"adopt":[65],"efficient":[67],"classification":[70,159,166],"architecture":[71],"employing":[72,122],"deep":[74],"learning":[75],"strategy.":[76],"It":[77],"supports":[78],"premature":[80],"detection":[81,288],"and":[85,174,195,221,225,239,248,250,259,276,285],"proper":[86,271],"treatments":[87],"that":[88],"help":[89,268],"prolong":[91],"chances":[93],"patients\u2019":[95],"Initially,":[97],"segmentation":[99,133],"procedure":[100],"executed":[102,181],"in":[103],"input":[105],"images":[106,149],"using":[107],"Adaptive":[109],"U-Net":[110],"Generative":[111],"Adversarial":[112],"Network":[113,157],"(AUNet-GAN).":[114],"Moreover,":[115],"variables":[117],"AUNet-GAN":[119],"are":[120,150,180,244],"tuned":[121],"Enhanced":[124],"Golf":[125],"Optimization":[126],"Algorithm":[127],"(EGOA).":[128],"major":[130],"principle":[131],"change":[136],"its":[137],"illustration":[138],"into":[139],"meaningful":[141],"format":[142],"image.":[145],"Further,":[146],"segmented":[148],"fed":[151],"Feature":[154],"Fusion-based":[155],"Hybrid":[156],"(FFHNet)-aided":[158],"model.":[164],"This":[165],"process":[167],"utilized":[169],"attain":[171],"better":[172],"benign":[173],"malignant.":[175],"Later,":[176],"several":[177],"experimental":[178],"observations":[179],"estimate":[183],"efficacy":[185,198],"designed":[189],"method":[190],"baseline":[193],"models":[194],"also":[196,251],"diverse":[197],"metrics":[199],"like":[200,235],"accuracy,":[201],"False":[202],"Negative":[203],"Rate":[204],"(FNR),":[205],"Prevalence":[206],"Threshold":[207],"(PT),":[208],"dice":[209],"coefficient,":[210],"etc.":[211],"accuracy":[213,229,284],"offered":[216],"approach":[217],"datasets":[219],"1":[220,243],"2":[222,254],"94.30":[224],"95.44.":[226],"Accordingly,":[227],"values":[230],"existing":[233],"works":[234],"CNN,":[236],"ResNet,":[237],"RNN,":[238],"VGG16":[240],"dataset":[242,253],"89.33,":[245],"91.70,":[246,247],"90.99":[249],"89.54,":[256],"82.91,":[257],"90.99,":[258],"92.75.":[260],"Thus,":[261],"empirical":[263],"outcomes":[264],"this":[266],"study":[267],"provide":[270],"treatment":[272],"usage":[278],"classifiers":[280],"efficiently":[281],"improves":[282],"strength":[286],"models.":[292]},"counts_by_year":[],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}
