Ultrasound-based deep learning radiomics nomogram for risk stratification of testicular masses: a two-center study.
Journal:
Journal of cancer research and clinical oncology
Published Date:
Jan 19, 2024
Abstract
OBJECTIVE: To develop an ultrasound-driven clinical deep learning radiomics (CDLR) model for stratifying the risk of testicular masses, aiming to guide individualized treatment and minimize unnecessary procedures.