ResBCDU-Net: A Deep Learning Framework for Lung CT Image Segmentation
Abstract
Lung CT image segmentation is a key process in many applications such as lung cancer detection. It is considered a challenging problem due to existing similar image densities in the pulmonary structures, different types of scanners, and scanning protocols. Most of the current semi-automatic segmentation methods rely on human factors therefore it might suffer from lack of accuracy. Another shortcoming of these methods is their high false-positive...
Paper Details
Title
ResBCDU-Net: A Deep Learning Framework for Lung CT Image Segmentation
Published Date
Jan 3, 2021
Journal
Volume
21
Issue
1
Pages
268 - 268
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