Abstract

Objective: Artificial intelligence (AI) is a rising technology with the power to improve the way we analyze diagnosis through medical imaging data. The discrepancy between preoperative magnetic resonance imaging (MRI) staging and postoperative pathologic staging of endometrial cancer remains unmet. This study aimed to validate the accuracy of AI to detect the depth of uterine myometrial invasion using deep learning techniques with convolutional neural networks (CNN) on MRI.

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