{"id":"https://openalex.org/W4409727159","doi":"https://doi.org/10.1038/s41598-025-98893-1","title":"A hybrid segmentation and classification CAD framework for automated myocardial infarction prediction from MRI images","display_name":"A hybrid segmentation and classification CAD framework for automated myocardial infarction prediction from MRI images","publication_year":2025,"publication_date":"2025-04-23","ids":{"openalex":"https://openalex.org/W4409727159","doi":"https://doi.org/10.1038/s41598-025-98893-1","pmid":"https://pubmed.ncbi.nlm.nih.gov/40269099"},"language":"en","primary_location":{"id":"doi:10.1038/s41598-025-98893-1","doi":"https://doi.org/10.1038/s41598-025-98893-1","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-025-98893-1","pdf_url":"https://www.nature.com/articles/s41598-025-98893-1.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.nature.com/articles/s41598-025-98893-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022092645","display_name":"Mugahed A. Al\u2013antari","orcid":"https://orcid.org/0000-0002-4457-4407","observed_orcids":["https://orcid.org/0000-0002-4457-4407"]},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Mugahed A. Al-antari","raw_affiliation_strings":["Department of Artificial Intelligence and Data Science, College of AI Convergence, Daeyang AI Center, Sejong University, Seoul, 05006, Korea. en.mualshz@sejong.ac.kr"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence and Data Science, College of AI Convergence, Daeyang AI Center, Sejong University, Seoul, 05006, Korea. en.mualshz@sejong.ac.kr","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052602457","display_name":"Riyadh M. Al-Tam","orcid":"https://orcid.org/0000-0002-9954-7529","observed_orcids":["https://orcid.org/0000-0002-9954-7529"]},"institutions":[{"id":"https://openalex.org/I196652580","display_name":"Swami Ramanand Teerth Marathwada University","ror":"https://ror.org/03nevd013","country_code":"IN","type":"education","lineage":["https://openalex.org/I196652580"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Riyadh M. Al-Tam","raw_affiliation_strings":["School of Computational Sciences, Swami Ramanand Teerth Marathwada University, Nanded, 431606, Maharashtra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computational Sciences, Swami Ramanand Teerth Marathwada University, Nanded, 431606, Maharashtra, India","institution_ids":["https://openalex.org/I196652580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056178502","display_name":"Aymen M. Al-Hejri","orcid":"https://orcid.org/0000-0002-3405-5363","observed_orcids":["https://orcid.org/0000-0002-3405-5363"]},"institutions":[{"id":"https://openalex.org/I196652580","display_name":"Swami Ramanand Teerth Marathwada University","ror":"https://ror.org/03nevd013","country_code":"IN","type":"education","lineage":["https://openalex.org/I196652580"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aymen M. Al-Hejri","raw_affiliation_strings":["School of Computational Sciences, Swami Ramanand Teerth Marathwada University, Nanded, 431606, Maharashtra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computational Sciences, Swami Ramanand Teerth Marathwada University, Nanded, 431606, Maharashtra, India","institution_ids":["https://openalex.org/I196652580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083754382","display_name":"Zaid Al\u2010Huda","orcid":"https://orcid.org/0000-0002-8920-7635","observed_orcids":["https://orcid.org/0000-0002-8920-7635"]},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zaid Al-Huda","raw_affiliation_strings":["Stirling College, Chengdu University, Chengdu, 610106, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stirling College, Chengdu University, Chengdu, 610106, P. R. China","institution_ids":["https://openalex.org/I4210125143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068901793","display_name":"Soojeong Lee","orcid":"https://orcid.org/0000-0001-5328-8923","observed_orcids":["https://orcid.org/0000-0001-5328-8923"]},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soojeong Lee","raw_affiliation_strings":["Department of Computer Engineering, College of AI Convergence, Daeyang AI Center, Sejong University, Seoul, 05006, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, College of AI Convergence, Daeyang AI Center, Sejong University, Seoul, 05006, Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083618632","display_name":"\u00d6zal Y\u0131ld\u0131r\u0131m","orcid":"https://orcid.org/0000-0001-5375-3012","observed_orcids":["https://orcid.org/0000-0001-5375-3012"]},"institutions":[{"id":"https://openalex.org/I143396566","display_name":"F\u0131rat University","ror":"https://ror.org/05teb7b63","country_code":"TR","type":"education","lineage":["https://openalex.org/I143396566"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"\u00d6zal Y\u0131ld\u0131r\u0131m","raw_affiliation_strings":["Department of Software Engineering, Technology Faculty, F\u0131rat University, Elaz\u0131\u011f, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, Technology Faculty, F\u0131rat University, Elaz\u0131\u011f, Turkey","institution_ids":["https://openalex.org/I143396566"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022731366","display_name":"Yeong Hyeon Gu","orcid":"https://orcid.org/0000-0002-0002-9386","observed_orcids":["https://orcid.org/0000-0002-0002-9386"]},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yeong Hyeon Gu","raw_affiliation_strings":["Department of Artificial Intelligence and Data Science, College of AI Convergence, Daeyang AI Center, Sejong University, Seoul, 05006, Korea. yhgu@sejong.ac.kr"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence and Data Science, College of AI Convergence, Daeyang AI Center, Sejong University, Seoul, 05006, Korea. yhgu@sejong.ac.kr","institution_ids":["https://openalex.org/I28777354"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022092645","https://openalex.org/A5022731366"],"corresponding_institution_ids":["https://openalex.org/I28777354"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":5.3905,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.96583622,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"15","issue":"1","first_page":"14196","last_page":"14196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.5946999788284302,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.5946999788284302,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.2660999894142151,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.05810000002384186,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/myocardial-infarction","display_name":"myocardial infarction","score":0.9509999752044678},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"computer-aided diagnosis","score":0.9729999899864197},{"id":"https://openalex.org/keywords/mri-segmentation","display_name":"MRI segmentation","score":0.6460000276565552},{"id":"https://openalex.org/keywords/myocardial-infarction-classification","display_name":"myocardial infarction classification","score":0.8730000257492065},{"id":"https://openalex.org/keywords/resunet","display_name":"ResUNet","score":0.8169999718666077},{"id":"https://openalex.org/keywords/vision-transformer","display_name":"vision transformer","score":0.9200000166893005},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"ensemble learning","score":0.6399999856948853},{"id":"https://openalex.org/keywords/multi-class-segmentation","display_name":"multi-class segmentation","score":0.574999988079071},{"id":"https://openalex.org/keywords/early-diagnosis","display_name":"early diagnosis","score":0.40700000524520874}],"concepts":[{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.8447080850601196},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6366293430328369},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.623557984828949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5418170094490051},{"id":"https://openalex.org/C500558357","wikidata":"https://www.wikidata.org/wiki/Q12152","display_name":"Myocardial infarction","level":2,"score":0.5151944756507874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4562867283821106},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.4185444116592407},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2987476587295532},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.255590558052063},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.227992981672287},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.0716724693775177},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06427392363548279}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true}],"locations_count":6,"locations":[{"id":"doi:10.1038/s41598-025-98893-1","doi":"https://doi.org/10.1038/s41598-025-98893-1","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-025-98893-1","pdf_url":"https://www.nature.com/articles/s41598-025-98893-1.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},{"id":"pmid:40269099","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40269099","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific reports","raw_type":"Journal Article"},{"id":"pmh:oai:europepmc.org:10829925","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12019538","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:12019538","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12019538","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sci Rep","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:decf71582a7c49e2a8282395fe5919fc","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/decf71582a7c49e2a8282395fe5919fc","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,"listed_in":[],"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":"Scientific Reports, Vol 15, Iss 1, Pp 1-24 (2025)","raw_type":"article"},{"id":"pmh:oai:openaccess.firat.edu.tr:11508/59555","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/11508/59555","pdf_url":null,"source":{"id":"https://openalex.org/S4377196733","display_name":"DSpace - FIRAT (F\u0131rat University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I143396566","host_organization_name":"F\u0131rat University","host_organization_lineage":["https://openalex.org/I143396566"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1038/s41598-025-98893-1","doi":"https://doi.org/10.1038/s41598-025-98893-1","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-025-98893-1","pdf_url":"https://www.nature.com/articles/s41598-025-98893-1.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.98580002784729,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"sustainable_development_goals_aurora":[{"score":0.4699999988079071,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1100858815","display_name":null,"funder_award_id":"IITP\u20102024\u2010RS\u20102024\u201000437191","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G1698331741","display_name":null,"funder_award_id":"RS-2022-00166402 and RS-2023-00256517","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G1909184262","display_name":null,"funder_award_id":"1711160571","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G3879776147","display_name":null,"funder_award_id":"RS-2023-00256517","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G3932724887","display_name":null,"funder_award_id":"RS-2024-00437191","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G4496842895","display_name":null,"funder_award_id":"RS-2024-00437191","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G6663298712","display_name":null,"funder_award_id":"IITP-2024-RS-2024-00437191","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G6754093111","display_name":null,"funder_award_id":"RS-2024-00437191","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320324891","display_name":"Iran Telecommunication Research Center","ror":"https://ror.org/01a3g2z22"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409727159.pdf","grobid_xml":"https://content.openalex.org/works/W4409727159.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2621611914","https://openalex.org/W2793956967","https://openalex.org/W2803575519","https://openalex.org/W2809504579","https://openalex.org/W2954503794","https://openalex.org/W2963395421","https://openalex.org/W2980825080","https://openalex.org/W3018897917","https://openalex.org/W3036552116","https://openalex.org/W3039085737","https://openalex.org/W3082127558","https://openalex.org/W3089089864","https://openalex.org/W3092758761","https://openalex.org/W3097108016","https://openalex.org/W3126808985","https://openalex.org/W3126916721","https://openalex.org/W3127202242","https://openalex.org/W3127916313","https://openalex.org/W3128133172","https://openalex.org/W3128607542","https://openalex.org/W3128617373","https://openalex.org/W3129152377","https://openalex.org/W3131352202","https://openalex.org/W3167701320","https://openalex.org/W3201655362","https://openalex.org/W3216701191","https://openalex.org/W4220653925","https://openalex.org/W4221071843","https://openalex.org/W4223903713","https://openalex.org/W4282839986","https://openalex.org/W4283022644","https://openalex.org/W4283729920","https://openalex.org/W4287181769","https://openalex.org/W4295025118","https://openalex.org/W4304820710","https://openalex.org/W4308334501","https://openalex.org/W4309457179","https://openalex.org/W4311050738","https://openalex.org/W4313415067","https://openalex.org/W4317436377","https://openalex.org/W4321090008","https://openalex.org/W4362560246","https://openalex.org/W4362664630","https://openalex.org/W4378190484","https://openalex.org/W4383162919","https://openalex.org/W4387338457","https://openalex.org/W4390122581","https://openalex.org/W4390724100","https://openalex.org/W4402424025","https://openalex.org/W4402499135","https://openalex.org/W4403447465","https://openalex.org/W4406981408","https://openalex.org/W4408165528","https://openalex.org/W6813786336"],"related_works":["https://openalex.org/W2334610590","https://openalex.org/W2320366403","https://openalex.org/W3204197061","https://openalex.org/W4251350712","https://openalex.org/W637098845","https://openalex.org/W2410116073","https://openalex.org/W3044972437","https://openalex.org/W4287707480","https://openalex.org/W2275866607","https://openalex.org/W3198805702"],"abstract_inverted_index":{"Early":[0],"diagnosis":[1,25],"of":[2,34,115,188],"myocardial":[3,93],"infarction":[4,94],"(MI)":[5],"is":[6,41,52],"critical":[7],"for":[8,28,59,152,193],"preserving":[9],"cardiac":[10],"function":[11],"and":[12,32,62,68,96,119,131,136,160,179,212],"improving":[13],"patient":[14,214],"outcomes":[15],"through":[16],"timely":[17],"intervention.":[18],"This":[19],"study":[20],"proposes":[21],"an":[22],"annovaitive":[23],"computer-aided":[24],"(CAD)":[26],"system":[27,40,192],"the":[29,125,139,165,170,186,189],"simultaneous":[30],"segmentation":[31,51,67,79,130],"classification":[33,69,102,132],"MI":[35,207],"using":[36,73,143],"MRI":[37,75,141],"images.":[38,76],"The":[39,77,101,146],"evaluated":[42],"under":[43],"two":[44],"primary":[45],"approaches:":[46],"a":[47,63,108,120,180,198],"serial":[48],"approach,":[49,65],"where":[50,66],"first":[53],"applied":[54],"to":[55,201],"extract":[56],"image":[57],"patches":[58],"subsequent":[60],"classification,":[61,164],"parallel":[64,171],"are":[70,134],"performed":[71],"concurrently":[72],"full":[74],"multi-class":[78],"model":[80,123,168],"identifies":[81],"four":[82],"key":[83],"heart":[84],"regions:":[85],"left":[86],"ventricular":[87],"cavity":[88],"(LV),":[89,155],"normal":[90],"myocardium":[91],"(Myo),":[92,157],"(MI),":[95,159],"persistent":[97],"microvascular":[98],"obstruction":[99],"(MVO).":[100,162],"stage":[103],"employs":[104],"three":[105],"AI-based":[106],"strategies:":[107],"single":[109],"deep":[110],"learning":[111],"model,":[112],"feature-based":[113],"fusion":[114],"multiple":[116],"AI":[117],"models,":[118],"hybrid":[121,166],"ensemble":[122],"incorporating":[124],"Vision":[126],"Transformer":[127],"(ViT).":[128],"Both":[129],"models":[133],"trained":[135],"validated":[137],"on":[138],"EMIDEC":[140],"dataset":[142],"five-fold":[144],"cross-validation.":[145],"adopted":[147],"ResU-Net":[148],"achieves":[149],"high":[150],"F1-scores":[151],"segmentation:":[153],"91.12%":[154],"88.39%":[156],"80.08%":[158],"68.01%":[161],"For":[163],"CNN-ViT":[167],"in":[169,205],"approach":[172],"demonstrates":[173],"superior":[174],"performance,":[175],"achieving":[176],"98.15%":[177],"accuracy":[178],"98.63%":[181],"F1-score.":[182],"These":[183],"findings":[184],"highlight":[185],"potential":[187],"proposed":[190],"CAD":[191],"real-world":[194],"clinical":[195],"applications,":[196],"offering":[197],"robust":[199],"tool":[200],"assist":[202],"healthcare":[203],"professionals":[204],"accurate":[206],"diagnosis,":[208],"improved":[209],"treatment":[210],"planning,":[211],"enhanced":[213],"care.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":5}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}