Fully automated organ segmentation in male pelvic CT images.

Volume: 63, Issue: 24, Pages: 245015 - 245015
Published: Dec 14, 2018
Abstract
Accurate segmentation of prostate and surrounding organs at risk is important for prostate cancer radiotherapy treatment planning. We present a fully automated workflow for male pelvic CT image segmentation using deep learning. The architecture consists of a 2D organ volume localization network followed by a 3D segmentation network for volumetric segmentation of prostate, bladder, rectum, and femoral heads. We used a multi-channel 2D U-Net...
Paper Details
Title
Fully automated organ segmentation in male pelvic CT images.
Published Date
Dec 14, 2018
Volume
63
Issue
24
Pages
245015 - 245015
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.