Discussion of a Simple Method to Generate Descriptive Images Using Predictive ResNet Model Weights and Feature Maps for Recurrent Cervix Cancer
Background: Predictive models like Residual Neural Networks (ResNets) can use Magnetic Resonance Imaging (MRI) data to identify Coffee Grinders cervix tumors likely to recur after radiotherapy (RT) with high accuracy.However, there persists a lack of insight into model selections (explainability).In this study, we explored whether model features co