T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning–derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology

Document Details

Document Type
Pub Defense Publication
Publication Date
Sep 02, 2020
Source ID
10.1007/s00330-020-07214-9

Entities

People

  • Amr Mahran
  • Anant Madabhushi
  • Ananya Panda
  • Andrew Janowczyk
  • Christina Buzzy
  • Gregory Maclennan
  • Lee Ponsky
  • Lin Li
  • Nafiseh Janaki
  • Patrick Leo
  • Pingfu Fu
  • Rakesh Shiradkar
  • Robin Elliott
  • Shivani Pahwa
  • Vikas Gulani
  • Xavier Farre

Organizations

  • National Cancer Institute
  • United States Department of Defense
  • United States Department of Veterans Affairs

Tags

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks