Machine Learning Methods for Optimal Radiomics-Based Differentiation Between Recurrence and Inflammation: Application to Nasopharyngeal Carcinoma Post-therapy PET/CT Images

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Abstract
To identify optimal machine learning methods for radiomics-based differentiation of local recurrence versus inflammation from post-treatment nasopharyngeal positron emission tomography/X-ray computed tomography (PET/CT) images.
Funding Information
  • National Natural Science Foundation of China (81871437)
  • Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme

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