Automated Segmentation of Cervical Tumors and Gynecologic Organs Using a Compact Deep Learning Model

A compact deep learning model, PocketNet, can accurately segment cervical tumors and gynecologic organs on T2-weighted MRI, enabling efficient and consistent radiotherapy planning for cervical cancer patients.