Faster R-CNN Model for Predicting Endometrial Cancer Recurrence: A Five-Subclass Approach with Texture Analysis and Validation
Huy Duc Vu, Hui Joong Lee, Juhun Lee, Hyun Jung Lee, Sung Won Youn
This paper develops a Faster R-CNN model to predict endometrial cancer recurrence using MRI texture analysis and clinical data, achieving an average precision of 0.86.
bioRxiv · Jun 13, 2025 · PreprintCancer Biology