Deep versus Handcrafted Tensor Radiomics Features: Prediction of Survival in Head and Neck Cancer Using Machine Learning and Fusion Techniques.

Mohammad R Salmanpour,Seyed Masoud Rezaeijo,Mahdi Hosseinzadeh,Arman Rahmim

Diagnostics (Basel, Switzerland)（2023）

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摘要

This study showed that tensor DF combined with proper machine learning approaches enhanced survival prediction performance compared to conventional DF, tensor and conventional RF, and end-to-end CNN frameworks.

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关键词

head and neck squamous cell carcinomas, deep learning features, radiomic features, hybrid machine learning methods, deep learning algorithms, progression-free survival

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