crossrefRadiation2024-06-14Cited by 1
Deep Texture Analysis Enhanced MRI Radiomics for Predicting Head and Neck Cancer Treatment Outcomes with Machine Learning Classifiers
Aryan Safakish, Amir Moslemi, Daniel Moore-Palhares, Lakshmanan Sannachi, Ian Poon, Irene Karam, et al.
Background: Head and neck cancer treatment does not yield desired outcomes for all patients. This investigation aimed to explore the feasibility of predicting treatment outcomes from routine pre-treatment magnetic resonance images (MRIs). Radiomics features were “mined” and used…