We proposed an deep learning approach to locate lesion and evaluate the myometrial invasion (MI) depth automatically on magnetic resonance (MR) images. Firstly, we trained a detection model based on YOLOv3 to locate lesion area on endometrial cancer MR (ECM) images. Then, the detected lesion regions on both sagittal and coronal images were simultaneously fed into a classification model based on Resnet to identify MI depth. Precision-recall curve, receiver operating characteristic curve and confusion matrix were used to evaluate the performance of the proposed method. The proposed model achieved good and time-efficient performance.
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