High-resolution deep transferred ASPPU-Net for nuclei segmentation of histopathology images

Volume: 16, Issue: 12, Pages: 2159 - 2175
Published: Oct 7, 2021
Abstract
Increasing cancer disease incidence worldwide has become a major public health issue. Manual histopathological analysis is a common diagnostic method for cancer detection. Due to the complex structure and wide variability in the texture of histopathology images, it has been challenging for pathologists to diagnose manually those images. Automatic segmentation of histopathology images to diagnose cancer disease is a continuous exploration field...
Paper Details
Title
High-resolution deep transferred ASPPU-Net for nuclei segmentation of histopathology images
Published Date
Oct 7, 2021
Volume
16
Issue
12
Pages
2159 - 2175
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.