Use of deep learning to predict postoperative recurrence of lung adenocarcinoma from preoperative CT.
Journal:
International journal of computer assisted radiology and surgery
Published Date:
Jun 28, 2022
Abstract
PURPOSE: Although surgery is the primary treatment for lung cancer, some patients experience recurrence at a certain rate. If postoperative recurrence can be predicted early before treatment is initiated, it may be possible to provide individualized treatment for patients. Thus, in this study, we propose a computer-aided diagnosis (CAD) system that predicts postoperative recurrence from computed tomography (CT) images acquired before surgery in patients with lung adenocarcinoma using a deep convolutional neural network (DCNN).