{"id":"https://openalex.org/W4413765245","doi":"https://doi.org/10.32604/cmc.2025.067994","title":"A Systematic Review of YOLO-Based Object Detection in Medical Imaging: Advances, Challenges, and Future Directions","display_name":"A Systematic Review of YOLO-Based Object Detection in Medical Imaging: Advances, Challenges, and Future Directions","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413765245","doi":"https://doi.org/10.32604/cmc.2025.067994"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2025.067994","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.067994","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.32604/cmc.2025.067994","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhenhui Cai","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhenhui Cai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080348548","display_name":"Kai-Qing Zhou","orcid":"https://orcid.org/0000-0001-5779-7135"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kaiqing Zhou","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Zhouhua Liao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhouhua Liao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.1012,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.96630527,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"85","issue":"2","first_page":"2255","last_page":"2303"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.8197000026702881,"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":0.8197000026702881,"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":0.8170999884605408,"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/computer-science","display_name":"Computer science","score":0.5070104598999023},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4378831386566162},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.36386430263519287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34801843762397766},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3267984688282013},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3087421655654907}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5070104598999023},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4378831386566162},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.36386430263519287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34801843762397766},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3267984688282013},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3087421655654907}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/cmc.2025.067994","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.067994","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2025.067994","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.067994","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":131,"referenced_works":["https://openalex.org/W2106905112","https://openalex.org/W2273920155","https://openalex.org/W2800816754","https://openalex.org/W2894049115","https://openalex.org/W2909494862","https://openalex.org/W3004612364","https://openalex.org/W3009131247","https://openalex.org/W3017302937","https://openalex.org/W3022015616","https://openalex.org/W3033750579","https://openalex.org/W3080568059","https://openalex.org/W3082127558","https://openalex.org/W3088317614","https://openalex.org/W3092697400","https://openalex.org/W3096265120","https://openalex.org/W3105153358","https://openalex.org/W3111248667","https://openalex.org/W3118577447","https://openalex.org/W3120894151","https://openalex.org/W3122173535","https://openalex.org/W3159480464","https://openalex.org/W3164174046","https://openalex.org/W3168676398","https://openalex.org/W3171950886","https://openalex.org/W3191963645","https://openalex.org/W3194729302","https://openalex.org/W3199045827","https://openalex.org/W3212769770","https://openalex.org/W3217423322","https://openalex.org/W4205221175","https://openalex.org/W4210598935","https://openalex.org/W4220912476","https://openalex.org/W4221017459","https://openalex.org/W4223556476","https://openalex.org/W4223575312","https://openalex.org/W4224072239","https://openalex.org/W4225909442","https://openalex.org/W4226412070","https://openalex.org/W4226421934","https://openalex.org/W4280517416","https://openalex.org/W4280583405","https://openalex.org/W4281386887","https://openalex.org/W4281561815","https://openalex.org/W4281959325","https://openalex.org/W4291819654","https://openalex.org/W4292064245","https://openalex.org/W4293066622","https://openalex.org/W4293661539","https://openalex.org/W4307511272","https://openalex.org/W4307965990","https://openalex.org/W4309479308","https://openalex.org/W4309845349","https://openalex.org/W4309891817","https://openalex.org/W4313291145","https://openalex.org/W4317513060","https://openalex.org/W4318820267","https://openalex.org/W4322102478","https://openalex.org/W4324061701","https://openalex.org/W4324290241","https://openalex.org/W4360838197","https://openalex.org/W4362589686","https://openalex.org/W4366824929","https://openalex.org/W4367189201","https://openalex.org/W4376874762","https://openalex.org/W4379805348","https://openalex.org/W4380885301","https://openalex.org/W4381235117","https://openalex.org/W4382059335","https://openalex.org/W4382359308","https://openalex.org/W4384135336","https://openalex.org/W4385188171","https://openalex.org/W4385490973","https://openalex.org/W4385693086","https://openalex.org/W4385803043","https://openalex.org/W4385952752","https://openalex.org/W4385988529","https://openalex.org/W4386041120","https://openalex.org/W4386215602","https://openalex.org/W4386225779","https://openalex.org/W4386351700","https://openalex.org/W4386419690","https://openalex.org/W4386603442","https://openalex.org/W4387082826","https://openalex.org/W4387457373","https://openalex.org/W4387807161","https://openalex.org/W4388195028","https://openalex.org/W4388316922","https://openalex.org/W4388336839","https://openalex.org/W4388807184","https://openalex.org/W4388869340","https://openalex.org/W4389410010","https://openalex.org/W4389431253","https://openalex.org/W4390116416","https://openalex.org/W4390739766","https://openalex.org/W4391350767","https://openalex.org/W4391589177","https://openalex.org/W4392118430","https://openalex.org/W4392309196","https://openalex.org/W4392811632","https://openalex.org/W4393094795","https://openalex.org/W4393372062","https://openalex.org/W4394676676","https://openalex.org/W4394707435","https://openalex.org/W4395447471","https://openalex.org/W4395677571","https://openalex.org/W4396217991","https://openalex.org/W4396523481","https://openalex.org/W4397043415","https://openalex.org/W4398137240","https://openalex.org/W4398188179","https://openalex.org/W4400266963","https://openalex.org/W4400482007","https://openalex.org/W4400742045","https://openalex.org/W4400949804","https://openalex.org/W4400966748","https://openalex.org/W4402227994","https://openalex.org/W4402437591","https://openalex.org/W4402467656","https://openalex.org/W4402504331","https://openalex.org/W4403022214","https://openalex.org/W4403456736","https://openalex.org/W4404698487","https://openalex.org/W4404914477","https://openalex.org/W4405365891","https://openalex.org/W4405806299","https://openalex.org/W4406799038","https://openalex.org/W4407812983","https://openalex.org/W4408330910","https://openalex.org/W4408717527","https://openalex.org/W4409004653","https://openalex.org/W4409119917"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0,114],"YOLO":[1,31,121,161,222],"(You":[2],"Only":[3],"Look":[4],"Once)":[5],"series,":[6],"a":[7],"leading":[8],"single-stage":[9],"object":[10,70],"detection":[11,71,166],"framework,":[12],"has":[13],"gained":[14],"significant":[15,158],"prominence":[16],"in":[17,39,67,87,128,143,192,224],"medical-image":[18],"analysis":[19],"due":[20],"to":[21,74,126,133,137,174,212],"its":[22,35],"real-time":[23,168],"efficiency":[24],"and":[25,37,49,100,112,139,151,167,199,216],"robust":[26],"performance.":[27],"Recent":[28],"iterations":[29],"of":[30,57,120,160,196,221],"have":[32],"further":[33,217],"enhanced":[34],"accuracy":[36],"reliability":[38],"critical":[40],"clinical":[41,58,169,176],"tasks":[42,144],"such":[43,108,145],"as":[44,109,146],"tumor":[45],"detection,":[46],"lesion":[47],"segmentation,":[48],"microscopic":[50],"image":[51],"analysis,":[52],"thereby":[53],"accelerating":[54],"the":[55,117,157,179,204,219],"development":[56],"decision":[59],"support":[60],"systems.":[61],"This":[62],"paper":[63],"systematically":[64],"reviews":[65],"advances":[66],"YOLO-based":[68],"medical":[69,88],"from":[72,124],"2018":[73],"2024.":[75],"It":[76],"compares":[77],"YOLO\u2019s":[78],"performance":[79,119],"with":[80],"other":[81],"models":[82,162,223],"(e.g.,":[83,94],"Faster":[84],"R-CNN,":[85],"RetinaNet)":[86],"contexts,":[89],"summarizes":[90],"standard":[91],"evaluation":[92],"metrics":[93],"mean":[95],"Average":[96],"Precision":[97],"(mAP),":[98],"sensitivity),":[99],"analyzes":[101],"hardware":[102],"deployment":[103],"strategies":[104],"using":[105],"public":[106],"datasets":[107],"LUNA16,":[110],"BraTS,":[111],"CheXpert.":[113],"review":[115],"highlights":[116],"impressive":[118],"models,":[122],"particularly":[123],"YOLOv5":[125],"YOLOv8,":[127],"achieving":[129],"high":[130,186],"precision":[131],"(up":[132,136],"99.17%),":[134],"sensitivity":[135],"97.5%),":[138],"mAP":[140],"exceeding":[141],"95%":[142],"lung":[147],"nodule,":[148],"breast":[149],"cancer,":[150],"polyp":[152],"detection.":[153],"These":[154],"results":[155],"demonstrate":[156],"potential":[159,205],"for":[163],"early":[164],"disease":[165],"applications,":[170],"indicating":[171],"their":[172],"ability":[173],"enhance":[175],"workflows.":[177],"However,":[178],"study":[180],"also":[181,210],"identifies":[182],"key":[183],"challenges,":[184],"including":[185],"small-object":[187],"miss":[188],"rates,":[189],"limited":[190],"generalization":[191],"low-contrast":[193],"images,":[194],"scarcity":[195],"annotated":[197],"data,":[198],"model":[200],"interpretability":[201],"issues.":[202],"Finally,":[203],"future":[206],"research":[207],"directions":[208],"are":[209],"proposed":[211],"address":[213],"these":[214],"challenges":[215],"advance":[218],"application":[220],"healthcare.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
