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

Journal: Medical physics
Published Date: Mar 13, 2023

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.

Authors

  • Nathan Lay
    Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Clinical Image Processing Service, Radiology and Imaging Sciences Department, National Institutes of Health Clinical Center, Bethesda, MD 20892-1182, USA.
  • Pouria Yazdian Anari
    Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
  • Aditi Chaurasia
    Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
  • Fatemeh Dehghani Firouzabadi
    Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
  • Stephanie Harmon
  • Evrim Turkbey
    Radiology and Imaging Sciences, NIH Clinical Center, National Institutes of Health, Bethesda, MD, USA.
  • Rabindra Gautam
    Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Safa Samimi
    Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
  • Maria J Merino
    Center for Interventional Oncology, National Cancer Institute & Clinical Center, National Institutes of Health, Bethesda, MD, USA.
  • Mark W Ball
  • William Marston Linehan
    Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA.
  • Baris Turkbey
    Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Ashkan A Malayeri
    Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD.

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