An automated computational image analysis pipeline for histological grading of cardiac allograft rejection
Abstract
Allograft rejection is a serious concern in heart transplant medicine. Though endomyocardial biopsy with histological grading is the diagnostic standard for rejection, poor inter-pathologist agreement creates significant clinical uncertainty. The aim of this investigation is to demonstrate that cellular rejection grades generated via computational histological analysis are on-par with those provided by expert pathologists
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- May 13, 2021
- Source ID
- 10.1093/eurheartj/ehab241
Entities
People
- Anant Madabhushi
- Andrew Janowczyk
- Anil Parwani
- Clarissa Cassol
- Eliot Peyster
- Kenneth B Margulies
- Luke Blower
- Michael D. Feldman
- Miroslav Sekulic
- Priti Lal
- Sara Arabyarmohammadi
- Sepideh Azarianpour
Organizations
- Case Western Reserve University
- Federal Government of the United States
- National Cancer Institute
- National Center for Advancing Translational Sciences
- National Center for Research Resources
- National Heart, Lung, and Blood Institute
- National Institute of Biomedical Imaging and Bioengineering
- National Institutes of Health
- Ohio State University
- UH Cleveland Medical Center
- United States Department of Defense
- United States Department of Veterans Affairs
- University of Pennsylvania
- Wallace H. Coulter Foundation