crossrefRadiation2024-02-28Cited by 8
Deep Texture Analysis—Enhancing CT Radiomics Features for Prediction of Head and Neck Cancer Treatment Outcomes: A Machine Learning Approach
Aryan Safakish, Lakshmanan Sannachi, Amir Moslemi, Ana Pejović-Milić, Gregory J. Czarnota
(1) Background: Some cancer patients do not experience tumour shrinkage but are still at risk of experiencing unwanted treatment side effects. Radiomics refers to mining biomedical images to quantify textural characterization. When radiomics features are labelled with treatment r…