Pulmonary Nodule Classification Based on Heterogeneous Features Learning

Volume: 39, Issue: 2, Pages: 574 - 581
Published: Feb 1, 2021
Abstract
Pulmonary cancer is one of the most dangerous cancers with a high incidence and mortality. An early accurate diagnosis and treatment of pulmonary cancer can observably increase the survival rates, where computer-aided diagnosis systems can largely improve the efficiency of radiologists. In this article, we propose a deep automated lung nodule diagnosis system based on three-dimensional convolutional neural network (3D-CNN) and support vector...
Paper Details
Title
Pulmonary Nodule Classification Based on Heterogeneous Features Learning
Published Date
Feb 1, 2021
Volume
39
Issue
2
Pages
574 - 581
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