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Abstract #4064

Feasibility of Femoral Cartilage Lesion Classification on Clinical MRIs using Deep Learning

Mingrui Yang1, Ceylan Colak1, Mercan Aslan1, Sibaji Gaj1, Morgan Jones1, Carl Winalski1, Naveen Subhas1, and Xiaojuan Li1
1Cleveland Clinic, Cleveland, OH, United States

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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