A Simple Method to Generate Descriptive Images for Recurrent Cervix Cancer Using Predictive ResNet Model Weights and Feature Maps

• Published in: International journal of radiation oncology, biology, physics Vol. 120; no. 2; p. e709
• Main Authors: Provenzano, D., Loew, M., Goyal, S., Rao, Y.J.
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.10.2024

We previously demonstrated that a Residual Neural Network (ResNet) can use magnetic resonance imaging (MRI) data to identify cervix tumors at increased risk of recurrence after radiotherapy (RT). In addition to being used as classifiers, ResNets can be used as feature extractors. In this study we ex...