Deep learning-based decision forest for hereditary clear cell renal cell carcinoma segmentation on MRI.

ABSTRACT:

Background

von Hippel-Lindau syndrome (VHL) is an autosomal dominant hereditary syndrome with an increased predisposition of developing numerous cysts and tumors, almost exclusively clear cell renal cell carcinoma (ccRCC). Considering the lifelong surveillance in such patients to monitor the disease, patients with VHL are preferentially imaged using MRI to eliminate radiation exposure.

Purpose

Segmentation of kidney and tumor structures on MRI in VHL patients is useful in lesion characterization (e.g., cyst vs. tumor), volumetric lesion analysis, and tumor growth prediction. However, automated tasks such as ccRCC segmentation on MRI is sparsely studied. We develop segmentation methodology for ccRCC on T1 weighted precontrast, corticomedullary, nephrogenic, and excretory cont

SUBMITTER: Lay N 

PROVIDER: S-EPMC10683486 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature