Lymph node metastasis prediction of papillary thyroid carcinoma based on transfer learning radiomics

Abstract

This interesting paper illustrates the potential of machine learning to improve the sensitivity and specificity of routine techniques in clinical practice if large cohorts for training and validation of models are used. Yu et al. present a transfer learning model (machine learning approach to solve research problems by reusing information from previously learned tasks for the learning of new tasks) in radiology of lymph node metastasis in papillary thyroid cancer patients.

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