Progressive attention module for segmentation of volumetric medical images

Volume: 49, Issue: 1, Pages: 295 - 308
Published: Dec 15, 2021
Abstract
Medical image segmentation is critical for many medical image analysis applications. 3D convolutional neural networks (CNNs) have been widely adopted in the segmentation of volumetric medical images. The recent development of channelwise and spatialwise attentions achieves the state-of-the-art feature representation performance. However, these attention strategies have not explicitly modeled interdependencies among slices in 3D medical volumes....
Paper Details
Title
Progressive attention module for segmentation of volumetric medical images
Published Date
Dec 15, 2021
Volume
49
Issue
1
Pages
295 - 308
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.