Automatic lung nodule detection system using image processing techniques in computed tomography

Volume: 56, Pages: 101659 - 101659
Published: Feb 1, 2020
Abstract
Diagnosing and treating lung cancer at an early stage can improve the survival rate of patients. This study attempted to develop a computer-aided detection (CAD) system. In order to include all nodule types in the detection, this study proposes an image processing method for detecting ground glass opacity (GGO), part solid, and solid nodules in chest computed tomography. The process comprises image preprocessing, lung segmentation, nodule...
Paper Details
Title
Automatic lung nodule detection system using image processing techniques in computed tomography
Published Date
Feb 1, 2020
Volume
56
Pages
101659 - 101659
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