Deep Convolutional Nets for Pulmonary Nodule Detection and Classification
Abstract
In this study, a novel pulmonary nodule detection and classification system with 2D convolutional neural networks is proposed. The objective is to effectively address the challenges in lung cancer diagnosis and early treatment. The system consists of two stages: nodule detection and false positive reduction. For nodule detection, we introduce a detection framework based on Faster R-CNN, which integrates a deconvolution layer to enlarge the...
Paper Details
Title
Deep Convolutional Nets for Pulmonary Nodule Detection and Classification
Published Date
Jan 1, 2018
Pages
197 - 208
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