{"id":"https://openalex.org/W4409540984","doi":"https://doi.org/10.3233/jifs-241512","title":"Hybrid attention residual deep convolution learning network for bio medical image analysis","display_name":"Hybrid attention residual deep convolution learning network for bio medical image analysis","publication_year":2024,"publication_date":"2024-05-17","ids":{"openalex":"https://openalex.org/W4409540984","doi":"https://doi.org/10.3233/jifs-241512"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-241512","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-241512","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"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":"Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology","raw_type":"journal-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/A5101624772","display_name":"A. Sundar Raj","orcid":"https://orcid.org/0000-0003-3393-4806"},"institutions":[{"id":"https://openalex.org/I4210130415","display_name":"Open International University for Alternative Medicines","ror":"https://ror.org/03t25y916","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210130415"]},{"id":"https://openalex.org/I4387153026","display_name":"E.G.S. Pillay Engineering College","ror":"https://ror.org/03s9gtm48","country_code":null,"type":"education","lineage":["https://openalex.org/I4387153026"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"A. Sundar Raj","raw_affiliation_strings":["Department of Biomedical Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamilnadu, India","institution_ids":["https://openalex.org/I4210130415","https://openalex.org/I4387153026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006962953","display_name":"Paruchuri Chandra Babu Naidu","orcid":null},"institutions":[{"id":"https://openalex.org/I94948490","display_name":"B.S. Abdur Rahman Crescent Institute of Science & Technology","ror":"https://ror.org/01fqhas03","country_code":"IN","type":"education","lineage":["https://openalex.org/I94948490"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Paruchuri Chandra Babu Naidu","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, BSA Crescent Institute of Science and Technology, Vandalur, Chennai, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, BSA Crescent Institute of Science and Technology, Vandalur, Chennai, Tamilnadu, India","institution_ids":["https://openalex.org/I94948490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102865646","display_name":"S. Sivakumar","orcid":"https://orcid.org/0000-0003-0811-8284"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Sivakumar","raw_affiliation_strings":["Department of Computer Science and Engineering, Nehru Institute of Engineering and Technology, Coimbatore, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Nehru Institute of Engineering and Technology, Coimbatore, Tamilnadu, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100612889","display_name":"S. Senthilkumar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130415","display_name":"Open International University for Alternative Medicines","ror":"https://ror.org/03t25y916","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210130415"]},{"id":"https://openalex.org/I4387153026","display_name":"E.G.S. Pillay Engineering College","ror":"https://ror.org/03s9gtm48","country_code":null,"type":"education","lineage":["https://openalex.org/I4387153026"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Senthilkumar","raw_affiliation_strings":["Department of Electronics and Communication Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamilnadu, India","institution_ids":["https://openalex.org/I4210130415","https://openalex.org/I4387153026"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101624772"],"corresponding_institution_ids":["https://openalex.org/I4210130415","https://openalex.org/I4387153026"],"apc_list":null,"apc_paid":null,"fwci":1.0535,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82620315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"48","issue":"4","first_page":"537","last_page":"554"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9994000196456909,"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":0.9994000196456909,"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":0.998199999332428,"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":0.9980999827384949,"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/residual","display_name":"Residual","score":0.7948035001754761},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6241069436073303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5627111196517944},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5622356534004211},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48001378774642944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4742133617401123},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3412023186683655},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3272310495376587},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1938437521457672},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.13578206300735474}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7948035001754761},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6241069436073303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5627111196517944},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5622356534004211},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48001378774642944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4742133617401123},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3412023186683655},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3272310495376587},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1938437521457672},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13578206300735474}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-241512","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-241512","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"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":"Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2612806369","https://openalex.org/W2892053105","https://openalex.org/W2899425762","https://openalex.org/W2914959431","https://openalex.org/W2922703796","https://openalex.org/W2943964494","https://openalex.org/W2963420686","https://openalex.org/W2979647047","https://openalex.org/W2995166707","https://openalex.org/W3001669684","https://openalex.org/W3006349040","https://openalex.org/W3011885901","https://openalex.org/W3012614932","https://openalex.org/W3022365663","https://openalex.org/W3029477994","https://openalex.org/W3036365526","https://openalex.org/W3038540011","https://openalex.org/W3041507802","https://openalex.org/W3049146198","https://openalex.org/W3085376891","https://openalex.org/W3095677418","https://openalex.org/W3114688163","https://openalex.org/W3120409733","https://openalex.org/W3121732873","https://openalex.org/W3133091557","https://openalex.org/W3136200549","https://openalex.org/W3158307528","https://openalex.org/W3201017021","https://openalex.org/W4214767762","https://openalex.org/W4285521395","https://openalex.org/W4313313343","https://openalex.org/W4385454858","https://openalex.org/W4387831813","https://openalex.org/W4391099954"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W4375867731","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2498789492","https://openalex.org/W2729981612","https://openalex.org/W4233449973","https://openalex.org/W2925692864","https://openalex.org/W2768526084"],"abstract_inverted_index":{"Biomedical":[0],"image":[1,200],"analysis":[2,201],"has":[3],"progressed":[4],"significantly":[5],"with":[6,22,86],"the":[7,47,59,96,138,141,153,159,177],"integration":[8],"of":[9,20,49,62,90,111,114,117,122,140,179],"artificial":[10],"intelligence,":[11],"presenting":[12],"new":[13],"opportunities":[14],"for":[15,161,165,170,187,194],"early":[16],"diagnosis":[17],"and":[18,82,105,119,135,158,190],"treatment":[19],"diseases":[21],"high":[23,88],"mortality":[24],"rates,":[25],"such":[26,131],"as":[27,132],"skin":[28,50,84,180],"cancer.":[29],"This":[30,124],"research":[31],"work":[32],"introduces":[33],"a":[34,74,87,108,162,184,192],"novel":[35],"Hybrid":[36],"Attention":[37],"Residual":[38],"Deep":[39],"Convolution":[40],"Learning":[41],"(HARDCL)":[42],"Model":[43],"designed":[44],"to":[45,58],"enhance":[46],"accuracy":[48,110],"lesion":[51,97,147],"classification,":[52,106],"which":[53],"is":[54],"often":[55],"challenging":[56],"due":[57],"subtle":[60],"characteristics":[61],"lesions.":[63],"The":[64,92,173],"HARDCL":[65,154],"Network":[66],"employs":[67],"an":[68,120],"innovative":[69],"hybrid":[70],"attention":[71],"mechanism":[72],"within":[73],"residual":[75],"learning":[76,129],"framework,":[77],"effectively":[78],"distinguishing":[79],"between":[80],"benign":[81],"melanoma":[83],"lesions":[85],"degree":[89],"precision.":[91],"encoder-decoder":[93],"network":[94,175],"segments":[95],"from":[98],"dermoscopic":[99],"images,":[100],"followed":[101],"by":[102],"feature":[103],"extraction":[104],"achieving":[107],"maximum":[109],"97.11%,":[112],"precision":[113],"98.10%,":[115],"recall":[116],"98.81%,":[118],"F1-score":[121],"98.45%.":[123],"performance":[125],"surpasses":[126],"conventional":[127],"deep":[128],"algorithms":[130],"AlexNet,":[133],"InceptionV3,":[134],"ResNet18,":[136],"demonstrating":[137],"effectiveness":[139],"attention-based":[142],"features":[143],"in":[144,197],"identifying":[145],"critical":[146],"characteristics.":[148],"However,":[149],"despite":[150],"its":[151],"strengths,":[152],"Network\u2019s":[155],"computational":[156],"intensity":[157],"need":[160],"substantial":[163],"dataset":[164],"optimal":[166],"training":[167],"highlight":[168],"areas":[169],"further":[171],"refinement.":[172],"proposed":[174],"advances":[176],"field":[178],"cancer":[181],"diagnostics,":[182],"offering":[183],"robust":[185],"tool":[186],"medical":[188],"professionals":[189],"setting":[191],"foundation":[193],"future":[195],"enhancements":[196],"automated":[198],"biomedical":[199],"techniques.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}