{"id":"https://openalex.org/W7124158539","doi":"https://doi.org/10.1109/access.2026.3654393","title":"Computer Vision-Based Medical Imaging Techniques: Past, Present, and Future","display_name":"Computer Vision-Based Medical Imaging Techniques: Past, Present, and Future","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7124158539","doi":"https://doi.org/10.1109/access.2026.3654393"},"language":null,"primary_location":{"id":"doi:10.1109/access.2026.3654393","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3654393","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3654393","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123031203","display_name":"Aleksandr Lonchakov","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Aleksandr Lonchakov","raw_affiliation_strings":["Research Center of the Artificial Intelligence Institute, Innopolis University, Innopolis, Russia"],"raw_orcid":"https://orcid.org/0009-0007-2945-6414","affiliations":[{"raw_affiliation_string":"Research Center of the Artificial Intelligence Institute, Innopolis University, Innopolis, Russia","institution_ids":["https://openalex.org/I4210116741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006995291","display_name":"Aleksandr Sinitca","orcid":"https://orcid.org/0000-0001-9869-4909"},"institutions":[{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Aleksandr Sinitca","raw_affiliation_strings":["Research Center of the Artificial Intelligence Institute, Innopolis University, Innopolis, Russia"],"raw_orcid":"https://orcid.org/0000-0001-9869-4909","affiliations":[{"raw_affiliation_string":"Research Center of the Artificial Intelligence Institute, Innopolis University, Innopolis, Russia","institution_ids":["https://openalex.org/I4210116741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123037474","display_name":"Dmitrii I. Kaplun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Dmitrii Kaplun","raw_affiliation_strings":["Research Center of the Artificial Intelligence Institute, Innopolis University, Innopolis, Russia"],"raw_orcid":"https://orcid.org/0000-0003-2765-4509","affiliations":[{"raw_affiliation_string":"Research Center of the Artificial Intelligence Institute, Innopolis University, Innopolis, Russia","institution_ids":["https://openalex.org/I4210116741"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5123031203"],"corresponding_institution_ids":["https://openalex.org/I4210116741"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":24.4962,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.97321588,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"14","issue":null,"first_page":"14193","last_page":"14212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.21289999783039093,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.21289999783039093,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.07349999994039536,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.07329999655485153,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.7260000109672546},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5791000127792358},{"id":"https://openalex.org/keywords/positron-emission-tomography","display_name":"Positron emission tomography","score":0.5478000044822693},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5157999992370605},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.45399999618530273},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.390500009059906},{"id":"https://openalex.org/keywords/imaging-science","display_name":"Imaging science","score":0.36230000853538513},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.3619000017642975},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.35420000553131104}],"concepts":[{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.7260000109672546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5975000262260437},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5791000127792358},{"id":"https://openalex.org/C2775842073","wikidata":"https://www.wikidata.org/wiki/Q208376","display_name":"Positron emission tomography","level":2,"score":0.5478000044822693},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5157999992370605},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.478300005197525},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.45399999618530273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42800000309944153},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.390500009059906},{"id":"https://openalex.org/C57177791","wikidata":"https://www.wikidata.org/wiki/Q1038886","display_name":"Imaging science","level":2,"score":0.36230000853538513},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.3619000017642975},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.35420000553131104},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.34299999475479126},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3352999985218048},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30820000171661377},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C2993262781","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Clinical imaging","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C2992737218","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Modern medicine","level":2,"score":0.29580000042915344},{"id":"https://openalex.org/C2778064278","wikidata":"https://www.wikidata.org/wiki/Q5372630","display_name":"Emission computed tomography","level":3,"score":0.2838999927043915},{"id":"https://openalex.org/C2780441642","wikidata":"https://www.wikidata.org/wiki/Q849737","display_name":"Single-photon emission computed tomography","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C165998758","wikidata":"https://www.wikidata.org/wiki/Q1038886","display_name":"Imaging technology","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C2986193123","wikidata":"https://www.wikidata.org/wiki/Q179310","display_name":"Computer technology","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2540999948978424},{"id":"https://openalex.org/C2776127602","wikidata":"https://www.wikidata.org/wiki/Q5038319","display_name":"Cardiac imaging","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/access.2026.3654393","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3654393","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3654393","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3654393","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":175,"referenced_works":["https://openalex.org/W149043567","https://openalex.org/W202762103","https://openalex.org/W1504543387","https://openalex.org/W1553661931","https://openalex.org/W1849681763","https://openalex.org/W1866924806","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1964247642","https://openalex.org/W1967060673","https://openalex.org/W1971679316","https://openalex.org/W1973288411","https://openalex.org/W1978170365","https://openalex.org/W1988452762","https://openalex.org/W1995264932","https://openalex.org/W1999320095","https://openalex.org/W2006096283","https://openalex.org/W2008359794","https://openalex.org/W2009487160","https://openalex.org/W2010942322","https://openalex.org/W2028571865","https://openalex.org/W2054010983","https://openalex.org/W2054455698","https://openalex.org/W2055830678","https://openalex.org/W2058125999","https://openalex.org/W2063217105","https://openalex.org/W2080429873","https://openalex.org/W2082184462","https://openalex.org/W2084220915","https://openalex.org/W2093601089","https://openalex.org/W2093740052","https://openalex.org/W2095569515","https://openalex.org/W2099905906","https://openalex.org/W2106033751","https://openalex.org/W2110338249","https://openalex.org/W2118595414","https://openalex.org/W2128362305","https://openalex.org/W2142853813","https://openalex.org/W2147800946","https://openalex.org/W2148488773","https://openalex.org/W2149999917","https://openalex.org/W2194775991","https://openalex.org/W2303215393","https://openalex.org/W2464708700","https://openalex.org/W2523005792","https://openalex.org/W2523382659","https://openalex.org/W2549139847","https://openalex.org/W2559779538","https://openalex.org/W2592929672","https://openalex.org/W2602061033","https://openalex.org/W2618530766","https://openalex.org/W2731899572","https://openalex.org/W2772030296","https://openalex.org/W2772723798","https://openalex.org/W2793222899","https://openalex.org/W2806001242","https://openalex.org/W2806857275","https://openalex.org/W2887567374","https://openalex.org/W2889707913","https://openalex.org/W2892046320","https://openalex.org/W2895720320","https://openalex.org/W2899061025","https://openalex.org/W2909553464","https://openalex.org/W2923997689","https://openalex.org/W2931831666","https://openalex.org/W2935936692","https://openalex.org/W2943602527","https://openalex.org/W2962914239","https://openalex.org/W2963446712","https://openalex.org/W2963797156","https://openalex.org/W2963946669","https://openalex.org/W2979907638","https://openalex.org/W2984810221","https://openalex.org/W2991523350","https://openalex.org/W2995848654","https://openalex.org/W2997286550","https://openalex.org/W3010925341","https://openalex.org/W3011885901","https://openalex.org/W3014512070","https://openalex.org/W3014974815","https://openalex.org/W3024005803","https://openalex.org/W3025651738","https://openalex.org/W3033966907","https://openalex.org/W3038704997","https://openalex.org/W3082277512","https://openalex.org/W3089150481","https://openalex.org/W3098715541","https://openalex.org/W3104951425","https://openalex.org/W3109350411","https://openalex.org/W3110931102","https://openalex.org/W3127751679","https://openalex.org/W3128646645","https://openalex.org/W3130846425","https://openalex.org/W3138516171","https://openalex.org/W3164581645","https://openalex.org/W3165252795","https://openalex.org/W3172681723","https://openalex.org/W3177549357","https://openalex.org/W3181029726","https://openalex.org/W3194282450","https://openalex.org/W3194610972","https://openalex.org/W3200218491","https://openalex.org/W3204166336","https://openalex.org/W3210645543","https://openalex.org/W3215324224","https://openalex.org/W4200042455","https://openalex.org/W4200314145","https://openalex.org/W4205382760","https://openalex.org/W4205900565","https://openalex.org/W4220788253","https://openalex.org/W4221163766","https://openalex.org/W4224989742","https://openalex.org/W4229333392","https://openalex.org/W4229367582","https://openalex.org/W4246193833","https://openalex.org/W4281640569","https://openalex.org/W4283704078","https://openalex.org/W4293812510","https://openalex.org/W4294184025","https://openalex.org/W4294975187","https://openalex.org/W4297518055","https://openalex.org/W4300979672","https://openalex.org/W4308332969","https://openalex.org/W4310128793","https://openalex.org/W4310467790","https://openalex.org/W4311027007","https://openalex.org/W4312084891","https://openalex.org/W4312443924","https://openalex.org/W4319216049","https://openalex.org/W4321232185","https://openalex.org/W4362560246","https://openalex.org/W4362692378","https://openalex.org/W4365998148","https://openalex.org/W4377138677","https://openalex.org/W4379468256","https://openalex.org/W4384701644","https://openalex.org/W4384923439","https://openalex.org/W4385245566","https://openalex.org/W4385425639","https://openalex.org/W4385569601","https://openalex.org/W4386076493","https://openalex.org/W4387211248","https://openalex.org/W4388761131","https://openalex.org/W4389028999","https://openalex.org/W4390871917","https://openalex.org/W4390874575","https://openalex.org/W4390959389","https://openalex.org/W4391109864","https://openalex.org/W4392194228","https://openalex.org/W4392947521","https://openalex.org/W4393154023","https://openalex.org/W4394760277","https://openalex.org/W4395085274","https://openalex.org/W4396902182","https://openalex.org/W4399310941","https://openalex.org/W4399446865","https://openalex.org/W4400229831","https://openalex.org/W4400689786","https://openalex.org/W4401577856","https://openalex.org/W4402727337","https://openalex.org/W4402754172","https://openalex.org/W4405203823","https://openalex.org/W4405533279","https://openalex.org/W4405778694","https://openalex.org/W4406610928","https://openalex.org/W4407052954","https://openalex.org/W4407063363","https://openalex.org/W4407128430","https://openalex.org/W4407677889","https://openalex.org/W4409174028","https://openalex.org/W4409219265","https://openalex.org/W4411348766","https://openalex.org/W4412488730","https://openalex.org/W4413156986","https://openalex.org/W4417439006"],"related_works":[],"abstract_inverted_index":{"Medical":[0],"imaging":[1,59,66],"is":[2,85],"fundamental":[3],"for":[4,10,18,110,137,165],"modern":[5,43],"medicine,":[6],"providing":[7],"non-invasive":[8],"techniques":[9],"visualizing":[11],"structures":[12],"and":[13,22,54,79,94,143,162],"pathologies":[14],"that":[15],"are":[16,146,160,168],"used":[17],"diagnosis,":[19],"treatment":[20],"planning,":[21],"monitoring":[23],"of":[24,33,42,64,105,120,129],"diseases.":[25],"The":[26],"year":[27],"2025":[28],"marks":[29],"the":[30,39,49,99,118],"130th":[31],"anniversary":[32],"Roentgen\u2019s":[34],"X-ray":[35],"discovery,":[36],"which":[37],"was":[38],"inception":[40],"point":[41],"medical":[44,58,111],"visualization.":[45],"This":[46],"paper":[47,100],"examines":[48],"historical":[50],"development,":[51],"core":[52],"methodologies,":[53],"emerging":[55],"trends":[56],"in":[57,148],"modalities.":[60],"A":[61],"detailed":[62],"examination":[63],"key":[65],"modalities":[67],"including":[68],"X-ray,":[69],"Computed":[70,83],"Tomography,":[71,78],"Magnetic":[72],"Resonance":[73],"Imaging,":[74],"Ultrasound,":[75],"Positron":[76],"Emission":[77,82],"Single":[80],"Photon":[81],"Tomography":[84],"provided,":[86],"highlighting":[87],"their":[88],"features,":[89],"clinical":[90],"applications,":[91],"inherent":[92],"limitations,":[93],"future":[95,166],"development":[96],"directions.":[97],"Subsequently,":[98],"provides":[101],"a":[102,127],"comprehensive":[103],"survey":[104],"computer":[106,122],"vision-based":[107],"methods":[108],"adapted":[109],"image":[112,138,151],"analysis.":[113],"It":[114],"begins":[115],"by":[116,126],"examining":[117],"evolution":[119],"foundational":[121],"vision":[123],"models,":[124],"followed":[125],"discussion":[128],"convolutional":[130],"neural":[131],"networks":[132],"(CNNs)":[133],"andVision":[134],"Transformers":[135],"(ViTs)":[136],"classification":[139],"tasks.":[140],"U-Net":[141],"architectures":[142],"transformer-based":[144],"approaches":[145],"examined":[147],"relation":[149],"to":[150],"segmentation.":[152],"In":[153],"conclusion,":[154],"current":[155],"state-of-the-art":[156],"deep":[157],"learning":[158],"models":[159],"summarized":[161],"potential":[163],"directions":[164],"research":[167],"outlined.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-03T08:25:01.440150","created_date":"2026-01-15T00:00:00"}
