Toward High-Throughput Artificial Intelligence-Based Segmentation in Oncological PET Imaging

Volume: 16, Issue: 4, Pages: 577 - 596
Published: Oct 1, 2021
Abstract
Artificial intelligence (AI) techniques for image-based segmentation have garnered much attention in recent years. Convolutional neural networks have shown impressive results and potential toward fully automated segmentation in medical imaging, and particularly PET imaging. To cope with the limited access to annotated data needed in supervised AI methods, given tedious and prone-to-error manual delineations, semi-supervised and unsupervised AI...
Paper Details
Title
Toward High-Throughput Artificial Intelligence-Based Segmentation in Oncological PET Imaging
Published Date
Oct 1, 2021
Volume
16
Issue
4
Pages
577 - 596
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.