Radiomics in gliomas: clinical implications of computational modeling and fractal-based analysis
Abstract
Radiomics is an emerging field that involves extraction and quantification of features from medical images. These data can be mined through computational analysis and models to identify predictive image biomarkers that characterize intra-tumoral dynamics throughout the course of treatment. This is particularly difficult in gliomas, where heterogeneity has been well established at a molecular level as well as visually in conventional imaging....
Paper Details
Title
Radiomics in gliomas: clinical implications of computational modeling and fractal-based analysis
Published Date
Apr 6, 2020
Journal
Volume
62
Issue
7
Pages
771 - 790
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