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CT-based radiomic features predict tumor grading and have prognostic value in patients with soft tissue sarcomas treated with neoadjuvant radiation therapy
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Overview
cited authors
Peeken, Jan C.; Bernhofer, Michael; Spraker, Matthew B.; Pfeiffer, Daniela; Deyecka, Michal; Thamer, Ahmed; Shouman, Mohammed A.; Ott, Armin; Nuesslin, Fridtjof; Mayr, Nina A.; Rost, Burkhard; Nyflot, Matthew J.; Combs, Stephanie E.
authors
Spraker, Matthew, MD, PhD
Publication Date
June 1, 2019
webpage
Web of Science
published in
RADIOTHERAPY AND ONCOLOGY
Journal
Research
category
RADIOLOGY NUCLEAR MEDICINE MEDICAL IMAGING
Web of Science Category
keywords
Biomarker
Machine learning
Neoadjuvant radiotherapy
Radiomics
Soft tissue sarcoma
Tumor grading
Additional Document Info
start page
187
end page
196
volume
135