Radiation Therapy Outcomes Models in the Era of Radiomics and Radiogenomics: Uncertainties and Validation

Published November 2018 | Version v1

Journal article Metadata-only

1. Department of Radiation Oncology, University of Michigan, Ann Arbor (United States)
2. Icahn Institute for Genomics and Multiscale Biology and Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York (United States)
3. Department of Radiology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston (United States)
4. Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston (United States)
5. Department of Computer Science, National Chiao Tung University, Hsinchu (China)
6. Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu (China)
7. Department of Experimental Clinical Oncology, Aarhus (Denmark)
8. Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston (United States)

no abstract available

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ijrobp.2018.08.022

Journal Title: International Journal of Radiation Oncology, Biology and Physics
Journal Volume: 102
Journal Issue: 4
Journal Page Range: p. 1070-1073
ISSN: 0360-3016
CODEN: IOBPD3

Country of Publication: United States
Country of Input or Organization: International Atomic Energy Agency (IAEA)
INIS RN: 53017235
Subject category: S62: RADIOLOGY AND NUCLEAR MEDICINE;
Resource subtype / Literary indicator: No Abstract
Descriptors DEI: BIOMEDICAL RADIOGRAPHY; IMAGE PROCESSING; RADIOTHERAPY; VALIDATION
Descriptors DEC: DIAGNOSTIC TECHNIQUES; MEDICINE; NUCLEAR MEDICINE; PROCESSING; RADIOLOGY; TESTING; THERAPY