The Applications of Radiomics for Predicting Survival Rate of Patients with Head and Neck Squamous Cell Carcinoma (HNSCC)
Source abstract
Abstract
The radiomics based on positron emission tomography (PET) data and random forest can predict overall survival rate of head and neck squamous cell carcinoma (HNSCC). We used the texture features extracted from PET and clinical information from patients with HNSCC (n = 138). The Spearman
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Research context
OpenAlex topics: Radiomics and Machine Learning in Medical Imaging · Head and Neck Cancer Studies · AI in cancer detection
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