Repeatability of radiomics and machine learning for DWI: Short‐term repeatability study of 112 patients with prostate cancer
Abstract
To evaluate repeatability of prostate DWI‐derived radiomics and machine learning methods for prostate cancer (PCa) characterization.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Nov 08, 2019
- Source ID
- 10.1002/mrm.28058
Entities
People
- Anant Madabhushi
- Hannu J. Aronen
- Harri Merisaari
- Ivan Jambor
- Jani Saunavaara
- Marko Pesola
- Otto Ettala
- Pekka Taimen
- Peter J. Boström
- Rakesh Shiradkar
Organizations
- Case Western Reserve University
- Icahn School of Medicine at Mount Sinai
- Instrumentarium Science Foundation
- National Center for Research Resources
- National Institutes of Health
- Research Council of Finland
- Sigrid Jusélius Foundation
- Turku University Hospital
- United States Department of Defense
- University of Turku