Predicting Malignancy and Invasiveness of Pulmonary Subsolid Nodules on CT Images Using Deep Learning
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DOI: 10.3389/fonc.2021.700158
Abstract: Background To develop and validate a deep learning–based model on CT images for the malignancy and invasiveness prediction of pulmonary subsolid nodules (SSNs). Materials and Methods This study retrospectively collected patients with pulmonary SSNs treated… read more here.
Keywords: pulmonary subsolid; malignancy invasiveness; deep learning;