Classifier Ensemble Based on Computed Tomography Attenuation Patterns for Computer-Aided Detection System
Abstract
Cancer is one of the leading causes of mortality worldwide, specifically lung cancer. Computer-Aided Detection (CADe) systems are being proposed to assist radiologists in the task of pulmonary nodule detection. In this paper, we propose a CADe system that uses Deep Convolutional Neural Network (DCNN). In the Nodule Candidate Detection (NCD) step, we used Mask Region-Convolutional Neural Network (Mask R-CNN) to detect bounding boxes in 2D slices...
Paper Details
Title
Classifier Ensemble Based on Computed Tomography Attenuation Patterns for Computer-Aided Detection System
Published Date
Jan 1, 2021
Journal
Volume
9
Pages
123134 - 123145
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