MRI radiomics-based machine-learning classification of bone chondrosarcoma
Abstract
Purpose To evaluate the diagnostic performance of machine learning for discrimination between low-grade and high-grade cartilaginous bone tumors based on radiomic parameters extracted from unenhanced magnetic resonance imaging (MRI). Methods We retrospectively enrolled 58 patients with histologically-proven low-grade/atypical cartilaginous tumor of the appendicular skeleton (n = 26) or higher-grade chondrosarcoma (n = 32, including 16...
Paper Details
Title
MRI radiomics-based machine-learning classification of bone chondrosarcoma
Published Date
Jul 1, 2020
Volume
128
Pages
109043 - 109043
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