Abstract
The prognosis varies greatly in stage III non-small-cell lung cancer (NSCLC) patients after complete resection. Patients in this stage have a high risk of disease recurrence even after receiving postoperative chemotherapy. Locoregional recurrence (LRR) is one of the major patterns of failure after surgery. Current methods of staging could not predict the risk of LRR for patients accurately. This study aimed to develop a deep learning-based classifier to predict the risk of LRR in stage III NSCLC patients using preoperative thoracic computed tomography (CT) images.
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