Diagnosis of Clinical Significant Prostate Cancer on Biparametric Mri Using Zone-Specific Radiomic Features
Author:
Affiliation:
1. FORTH-BRI,Department of Biomedical Research,Ioannina,Greece
2. FORTH-ICS,Computational Biomedicine Laboratory,Heraklion,Greece
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10230311/10230322/10230613.pdf?arnumber=10230613
Reference21 articles.
1. The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges
2. Introduction to Radiomics
3. Intermixed Normal Tissue within Prostate Cancer: Effect on MR Imaging Measurements of Apparent Diffusion Coefficient and T2—Sparse versus Dense Cancers
4. A radiomics machine learning-based redefining score robustly identifies clinically significant prostate cancer in equivocal PI-RADS score 3 lesions
5. Bias in error estimation when using cross-validation for model selection
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