Original paper
Impact of number of repeated scans on model observer performance for a low-contrast detection task in computed tomography
Abstract
Channelized Hotelling observer (CHO) models have been shown to correlate well with human observers for several phantom-based detection/classification tasks in clinical computed tomography (CT). A large number of repeated scans were used to achieve an accurate estimate of the model's template. The purpose of this study is to investigate how the experimental and CHO model parameters affect the minimum required number of repeated scans. A phantom...
Paper Details
Title
Impact of number of repeated scans on model observer performance for a low-contrast detection task in computed tomography
Published Date
May 26, 2016
Journal
Volume
3
Issue
2
Pages
023504 - 023504
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- 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.
Notes
History