{"id":"https://openalex.org/W4390421984","doi":"https://doi.org/10.1109/jbhi.2023.3348436","title":"Is Attention all You Need in Medical Image Analysis? A Review","display_name":"Is Attention all You Need in Medical Image Analysis? A Review","publication_year":2023,"publication_date":"2023-12-29","ids":{"openalex":"https://openalex.org/W4390421984","doi":"https://doi.org/10.1109/jbhi.2023.3348436","pmid":"https://pubmed.ncbi.nlm.nih.gov/38157463"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2023.3348436","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3348436","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221020/6363502/10376277.pdf","source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/6221020/6363502/10376277.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040046846","display_name":"Giorgos Papanastasiou","orcid":"https://orcid.org/0000-0002-1939-296X"},"institutions":[{"id":"https://openalex.org/I4210156054","display_name":"Athena Research and Innovation Center In Information Communication & Knowledge Technologies","ror":"https://ror.org/0576by029","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210156054"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Giorgos Papanastasiou","raw_affiliation_strings":["Archimedes Unit, Athena Research Centre, Athens, Greece"],"raw_orcid":"https://orcid.org/0000-0002-1939-296X","affiliations":[{"raw_affiliation_string":"Archimedes Unit, Athena Research Centre, Athens, Greece","institution_ids":["https://openalex.org/I4210156054"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008391218","display_name":"\u039d\u03b9\u03ba\u03cc\u03bb\u03b1\u03bf\u03c2 \u0394\u03b9\u03ba\u03b1\u03af\u03bf\u03c2","orcid":"https://orcid.org/0000-0001-9865-0260"},"institutions":[{"id":"https://openalex.org/I206127235","display_name":"Academy of Athens","ror":"https://ror.org/00qsdn986","country_code":"GR","type":"education","lineage":["https://openalex.org/I206127235"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikolaos Dikaios","raw_affiliation_strings":["Mathematics Research Centre, Academy of Athens, Athens, Greece"],"raw_orcid":"https://orcid.org/0000-0001-9865-0260","affiliations":[{"raw_affiliation_string":"Mathematics Research Centre, Academy of Athens, Athens, Greece","institution_ids":["https://openalex.org/I206127235"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063511624","display_name":"Jiahao Huang","orcid":"https://orcid.org/0000-0002-8032-9097"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jiahao Huang","raw_affiliation_strings":["Bioengineering Department and Imperial-X, Imperial College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-8032-9097","affiliations":[{"raw_affiliation_string":"Bioengineering Department and Imperial-X, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082176355","display_name":"Chengjia Wang","orcid":"https://orcid.org/0000-0003-2345-7364"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]},{"id":"https://openalex.org/I4210085930","display_name":"Heriot-Watt University Malaysia","ror":"https://ror.org/0059w0420","country_code":"MY","type":"education","lineage":["https://openalex.org/I4210085930"]}],"countries":["GB","MY"],"is_corresponding":false,"raw_author_name":"Chengjia Wang","raw_affiliation_strings":["School of Mathematical and Computer Sciences, Heriot Watt, Edinburgh, U.K"],"raw_orcid":"https://orcid.org/0000-0003-2345-7364","affiliations":[{"raw_affiliation_string":"School of Mathematical and Computer Sciences, Heriot Watt, Edinburgh, U.K","institution_ids":["https://openalex.org/I32062511","https://openalex.org/I4210085930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100436460","display_name":"Guang Yang","orcid":"https://orcid.org/0000-0001-7344-7733"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Guang Yang","raw_affiliation_strings":["Bioengineering Department and Imperial-X, Imperial College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0001-7344-7733","affiliations":[{"raw_affiliation_string":"Bioengineering Department and Imperial-X, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.8754,"has_fulltext":true,"cited_by_count":77,"citation_normalized_percentile":{"value":0.99268,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"28","issue":"3","first_page":"1398","last_page":"1411"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9994999766349792,"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/T10862","display_name":"AI in cancer detection","score":0.9991999864578247,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9991000294685364,"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/computer-science","display_name":"Computer science","score":0.7075217366218567},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5631126165390015},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5511038303375244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5276550054550171},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4917204678058624},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4446827471256256},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.44086605310440063},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.41965237259864807},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11406129598617554}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7075217366218567},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5631126165390015},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5511038303375244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5276550054550171},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4917204678058624},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4446827471256256},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.44086605310440063},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.41965237259864807},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11406129598617554},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011211","descriptor_name":"Electric Power Supplies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2023.3348436","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3348436","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221020/6363502/10376277.pdf","source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:38157463","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38157463","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,"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":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":{"id":"doi:10.1109/jbhi.2023.3348436","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3348436","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221020/6363502/10376277.pdf","source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1285418384","display_name":null,"funder_award_id":"IECNSFC211235","funder_id":"https://openalex.org/F4320320006","funder_display_name":"Royal Society"},{"id":"https://openalex.org/G2597775472","display_name":null,"funder_award_id":"21013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G345367523","display_name":"Fully Automatic Segmentation and Assessment of Atrial Scars for Atrial Fibrillation Patients\nUsing LGE MRI","funder_award_id":"MC_PC_21013","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"},{"id":"https://openalex.org/G6756521213","display_name":null,"funder_award_id":"MR/V023799/1","funder_id":"https://openalex.org/F4320314731","funder_display_name":"UK Research and Innovation"},{"id":"https://openalex.org/G6836194214","display_name":null,"funder_award_id":"5154714","funder_id":"https://openalex.org/F4320327897","funder_display_name":"Max-Planck-Institut f\u00fcr Mathematik in den Naturwissenschaften"},{"id":"https://openalex.org/G7986630670","display_name":null,"funder_award_id":"952172","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G8281733097","display_name":"Synergistic Inverse Problems Omni-Solver for Expeditious High Quality Multimodal Cardiovascular MRI via Deep Compressive Sensing and Data Coalescing","funder_award_id":"MR/V023799/1","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"}],"funders":[{"id":"https://openalex.org/F4320314731","display_name":"UK Research and Innovation","ror":"https://ror.org/001aqnf71"},{"id":"https://openalex.org/F4320320006","display_name":"Royal Society","ror":"https://ror.org/03wnrjx87"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327897","display_name":"Max-Planck-Institut f\u00fcr Mathematik in den Naturwissenschaften","ror":"https://ror.org/00ez2he07"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320334626","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390421984.pdf","grobid_xml":"https://content.openalex.org/works/W4390421984.grobid-xml"},"referenced_works_count":185,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2115323156","https://openalex.org/W2133564696","https://openalex.org/W2153638122","https://openalex.org/W2159903095","https://openalex.org/W2267186426","https://openalex.org/W2520648654","https://openalex.org/W2530952499","https://openalex.org/W2790284322","https://openalex.org/W2791391643","https://openalex.org/W2796108391","https://openalex.org/W2798122215","https://openalex.org/W2890139949","https://openalex.org/W2900298334","https://openalex.org/W2918257301","https://openalex.org/W2928045706","https://openalex.org/W2954747211","https://openalex.org/W2959170286","https://openalex.org/W2962858109","https://openalex.org/W2963423608","https://openalex.org/W2964317695","https://openalex.org/W2971053592","https://openalex.org/W2981126002","https://openalex.org/W2981458349","https://openalex.org/W2981811371","https://openalex.org/W2985312512","https://openalex.org/W2997816193","https://openalex.org/W3001484656","https://openalex.org/W3002137088","https://openalex.org/W3006905011","https://openalex.org/W3010126053","https://openalex.org/W3017153481","https://openalex.org/W3024162568","https://openalex.org/W3025464397","https://openalex.org/W3028990794","https://openalex.org/W3034655146","https://openalex.org/W3035148740","https://openalex.org/W3035267940","https://openalex.org/W3040717749","https://openalex.org/W3041103443","https://openalex.org/W3047424341","https://openalex.org/W3047901047","https://openalex.org/W3048439504","https://openalex.org/W3074741277","https://openalex.org/W3082491125","https://openalex.org/W3084431922","https://openalex.org/W3086373238","https://openalex.org/W3087206665","https://openalex.org/W3088226460","https://openalex.org/W3088331592","https://openalex.org/W3090856864","https://openalex.org/W3094059395","https://openalex.org/W3094336018","https://openalex.org/W3094502228","https://openalex.org/W3095154396","https://openalex.org/W3095684324","https://openalex.org/W3096038436","https://openalex.org/W3096793576","https://openalex.org/W3097812605","https://openalex.org/W3098046820","https://openalex.org/W3099561884","https://openalex.org/W3100000627","https://openalex.org/W3100945164","https://openalex.org/W3108244925","https://openalex.org/W3111400280","https://openalex.org/W3119260780","https://openalex.org/W3128821554","https://openalex.org/W3134475970","https://openalex.org/W3135352736","https://openalex.org/W3135588948","https://openalex.org/W3136333197","https://openalex.org/W3136497127","https://openalex.org/W3138516171","https://openalex.org/W3151410070","https://openalex.org/W3153712677","https://openalex.org/W3155564877","https://openalex.org/W3160162492","https://openalex.org/W3162661467","https://openalex.org/W3164581645","https://openalex.org/W3164917383","https://openalex.org/W3166396011","https://openalex.org/W3167794677","https://openalex.org/W3169827549","https://openalex.org/W3176196997","https://openalex.org/W3176466780","https://openalex.org/W3176630962","https://openalex.org/W3176906708","https://openalex.org/W3181327235","https://openalex.org/W3181439599","https://openalex.org/W3185611961","https://openalex.org/W3187546290","https://openalex.org/W3188404242","https://openalex.org/W3197440202","https://openalex.org/W3198401109","https://openalex.org/W3199078399","https://openalex.org/W3199501019","https://openalex.org/W3202642596","https://openalex.org/W3203810622","https://openalex.org/W3204503370","https://openalex.org/W3206012881","https://openalex.org/W3206370559","https://openalex.org/W3206598095","https://openalex.org/W3207549851","https://openalex.org/W3207601934","https://openalex.org/W3209349412","https://openalex.org/W3210510019","https://openalex.org/W3211084592","https://openalex.org/W3211988735","https://openalex.org/W3213233983","https://openalex.org/W3214845102","https://openalex.org/W3216035653","https://openalex.org/W3217379041","https://openalex.org/W4200026756","https://openalex.org/W4200033088","https://openalex.org/W4200597473","https://openalex.org/W4200627592","https://openalex.org/W4205159439","https://openalex.org/W4205184150","https://openalex.org/W4205329909","https://openalex.org/W4205868820","https://openalex.org/W4205901258","https://openalex.org/W4207056684","https://openalex.org/W4207081122","https://openalex.org/W4210722522","https://openalex.org/W4210742081","https://openalex.org/W4210786716","https://openalex.org/W4210894733","https://openalex.org/W4210950701","https://openalex.org/W4211063680","https://openalex.org/W4213094289","https://openalex.org/W4213421646","https://openalex.org/W4213422477","https://openalex.org/W4214494310","https://openalex.org/W4214627933","https://openalex.org/W4214756141","https://openalex.org/W4214825821","https://openalex.org/W4214839262","https://openalex.org/W4220697973","https://openalex.org/W4220710243","https://openalex.org/W4220712885","https://openalex.org/W4220817956","https://openalex.org/W4220878415","https://openalex.org/W4220930090","https://openalex.org/W4221046079","https://openalex.org/W4221072550","https://openalex.org/W4221080555","https://openalex.org/W4223534207","https://openalex.org/W4223589960","https://openalex.org/W4224063192","https://openalex.org/W4224246723","https://openalex.org/W4224308582","https://openalex.org/W4224984693","https://openalex.org/W4225013498","https://openalex.org/W4226116882","https://openalex.org/W4226172857","https://openalex.org/W4226192669","https://openalex.org/W4226275002","https://openalex.org/W4226325015","https://openalex.org/W4226385270","https://openalex.org/W4229032878","https://openalex.org/W4229054266","https://openalex.org/W4280579601","https://openalex.org/W4282947149","https://openalex.org/W4288049169","https://openalex.org/W4293163051","https://openalex.org/W4307356452","https://openalex.org/W4312349930","https://openalex.org/W4312443924","https://openalex.org/W4312605942","https://openalex.org/W4321018175","https://openalex.org/W4327972770","https://openalex.org/W4353004474","https://openalex.org/W4362603432","https://openalex.org/W4368360134","https://openalex.org/W4376642993","https://openalex.org/W4385245566","https://openalex.org/W6679434410","https://openalex.org/W6684191040","https://openalex.org/W6739901393","https://openalex.org/W6750469568","https://openalex.org/W6755891590","https://openalex.org/W6778883912","https://openalex.org/W6784333009","https://openalex.org/W6791353385","https://openalex.org/W6849817994"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W4375867731","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Medical":[0],"imaging":[1],"is":[2,136],"a":[3,153],"key":[4,187],"component":[5],"in":[6,27,60,166],"clinical":[7,12,214],"diagnosis,":[8],"treatment":[9],"planning":[10],"and":[11,43,106,112,147,185,192,195,213,223],"trial":[13],"design,":[14],"accounting":[15],"for":[16,121],"almost":[17],"90%":[18],"of":[19,81,131,156,211],"all":[20],"healthcare":[21],"data.":[22,49,94],"CNNs":[23,36],"achieved":[24],"performance":[25],"gains":[26],"medical":[28],"image":[29],"analysis":[30,206],"(MIA)":[31],"over":[32],"the":[33],"last":[34],"years.":[35],"can":[37,89,117,226],"efficiently":[38],"model":[39],"local":[40],"pixel":[41,63],"interactions":[42],"be":[44,101,227],"trained":[45,102],"on":[46,103,208,217],"small-scale":[47],"MI":[48],"Despite":[50],"their":[51,67],"important":[52],"advances,":[53],"typical":[54],"CNN":[55,146],"have":[56,125,162],"relatively":[57],"limited":[58],"capabilities":[59],"modelling":[61,122],"\"global\"":[62,76],"interactions,":[64],"which":[65,88,116,150,218],"restricts":[66],"generalisation":[68,209,222],"ability":[69],"to":[70,86,100,140,152],"understand":[71],"out-of-distribution":[72],"data":[73,105],"with":[74],"different":[75],"information.":[77],"The":[78,159],"recent":[79],"progress":[80],"Artificial":[82],"Intelligence":[83],"gave":[84],"rise":[85],"Transformers,":[87],"learn":[90],"global":[91,123],"relationships":[92],"from":[93,145],"However,":[95],"full":[96,132],"Transformer":[97,113],"models":[98,169],"need":[99],"large-scale":[104],"involve":[107],"tremendous":[108],"computational":[109],"complexity.":[110],"Attention":[111],"compartments":[114],"(\"Transf/Attention\")":[115],"well":[118,199],"maintain":[119],"properties":[120,144],"relationships,":[124],"been":[126],"proposed":[127],"as":[128,198,200],"lighter":[129],"alternatives":[130],"Transformers.":[133],"Recently,":[134],"there":[135],"an":[137,205],"increasing":[138],"trend":[139],"co-pollinate":[141],"complementary":[142],"local-global":[143],"Transf/Attention":[148],"architectures,":[149],"led":[151],"new":[154,219],"era":[155],"hybrid":[157,167,181],"models.":[158],"past":[160],"years":[161],"witnessed":[163],"substantial":[164],"growth":[165],"CNN-Transf/Attention":[168,182],"across":[170],"diverse":[171],"MIA":[172],"problems.":[173],"In":[174],"this":[175],"systematic":[176],"review,":[177],"we":[178],"survey":[179],"existing":[180],"models,":[183],"review":[184],"unravel":[186],"architectural":[188],"designs,":[189],"analyse":[190],"breakthroughs,":[191],"evaluate":[193],"current":[194],"future":[196],"opportunities":[197,210],"challenges.":[201],"We":[202],"also":[203],"introduced":[204],"framework":[207],"scientific":[212],"impact,":[215],"based":[216],"data-driven":[220],"domain":[221],"adaptation":[224],"methods":[225],"stimulated.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":22},{"year":2025,"cited_by_count":43},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-08T07:41:36.138363","created_date":"2025-10-10T00:00:00"}