A radiomics approach to identify immunologically active tumor in patients with head and neck squamous cell carcinomas
Simple Summary We recently established a biological classification of head and neck
cancers into hot and cold tumors, which were associated with different responses to …
cancers into hot and cold tumors, which were associated with different responses to …
Deep Texture Analysis—Enhancing CT Radiomics Features for Prediction of Head and Neck Cancer Treatment Outcomes: A Machine Learning Approach
Simple Summary Cancer treatment is a physically and emotionally stressful experience for
patients. Some patients benefit from treatment, whereas others do not. In order to predict a …
patients. Some patients benefit from treatment, whereas others do not. In order to predict a …
Deep Texture Analysis Enhanced MRI Radiomics for Predicting Head and Neck Cancer Treatment Outcomes with Machine Learning Classifiers
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 …
patients. This investigation aimed to explore the feasibility of predicting treatment outcomes …
Enhancing CT Radiomics Features for Prediction of Head and Neck Cancer Treatment Outcomes: A Machine Learning Approach
(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 …
risk of experiencing unwanted treatment side effects. Radiomics refers to mining biomedical …