ResBCDU-Net: A Deep Learning Framework for Lung CT Image Segmentation

Volume: 21, Issue: 1, Pages: 268 - 268
Published: Jan 3, 2021
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
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.