publication . Preprint . Other literature type . 2019

Optimal Mass Transport for Robust Texture Analysis

Aditya Apte; Zehor Belkhatir; Joseph O. Deasy; Aditi Iyer; James C. Mathews; Saad Nadeem; Maryam Pouryahya; Allen Tannenbaum;
Open Access
  • Published: 27 Nov 2019
  • Publisher: Cold Spring Harbor Laboratory
Abstract
<jats:title>Abstract</jats:title><jats:p>The emerging field of radiomics, which consists of transforming standard-of-care images to quantifiable scalar statistics, endeavors to reveal the information hidden in these macroscopic images. This field of research has found different applications ranging from phenotyping and tumor classification to outcome prediction and treatment planning. Texture analysis, which often consists of reducing spatial texture matrices to summary scalar features, has been shown to be important in many of the latter applications. However, as pointed out in many studies, some of the derived texture statistics are strongly correlated and ten...
Subjects
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
free text keywords: Matrix (mathematics), Multivariate statistics, Tomography, Ranging, Computation, Random forest, Pattern recognition, Scalar (physics), Robustness (computer science), Artificial intelligence, business.industry, business, Computer science
Funded by
NIH| MOUSE GENETICS
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 2P30CA008748-43
  • Funding stream: NATIONAL CANCER INSTITUTE
,
NIH| Glymphatic function in a transgenic rat model of Alzheimer's disease
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01AG048769-04
  • Funding stream: NATIONAL INSTITUTE ON AGING
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