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From detection to grading: A hybrid KOA-YOLOv5-RF model for knee osteoarthritis diagnosis.

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第一作者： Manikandaprabhu,Perumalsamy

第一单位： Department of Computer Science, School of Computing, Amrita Vishwa Vidyapeetham, Mysuru, India.

作者： Manikandaprabhu,Perumalsamy ^[1] ; Priya,Govindarajan ^[1] ; Rinhas,Bran ^[1] ; Adarsh Krishna,Kp ^[1] ; Niranjan V,Jyothi ^[1] ; M,Batumalay ^[2]

作者单位： Department of Computer Science, School of Computing, Amrita Vishwa Vidyapeetham, Mysuru, India. ^[1] Faculty of Data Science and IT, INTI International University, Nilai, Negeri Sembilan, Malaysia. ^[2]

关键词 Accessibility to Healthcare Computer-aided Diagnosis Deep learning Early disease detection Image segmentation Joint space narrowing Machine learning Medical diagnosis Process innovation Random Forest YOLOv5

DOI 10.1016/j.mex.2025.103725

PMID 41378376

发布时间 2026-01-19

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