Early diagnosis and effective detection of cartilage degeneration is an important factor for osteoarthritis prevention and treatment, which are still challenging in routine clinical practice, resulting in poor patient treatment and management plans. The purpose of this study is to assess the feasibility of building an automatic femoral cartilage lesion classification pipeline for heterogenous clinical routine MR scans by combining deep learning segmentation and classification models together.
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