Osteochondritis dissecans (OCD) is one of the most common sports disorders in elementary and junior high school baseball players. OCD is often detected after it has progressed to a painful condition. Therefore, early detection in the early stages is considered to be important. In this study, we propose an OCD detection model using deep learning from ultrasound images to assist diagnosis. As a result, the OCD classification model using VGG16 achieved 0.845 in accuracy and 0.983 in AUC.
