Informatics Tools for Quantitative Digital Pathology Profiling and Integrated Prognostic Modeling

Project: Research project

Project Details

Description

Dr. Cooper will lead the application of machine learning algorithms to the renal transplant biopsy images. He will co-supervise a graduate student at Emory University with Dr. Gutman to apply these algorithms to the curated datasets, to analyze the results, and to assist with the development of manuscripts. He will also advise and assist with the development and implementation of an annotation protocol to prepare training data from digital images. Dr. Cooper will assist with preparation and submission of manuscripts to academic journals, preparation of talks for scientific symposia, and preparation of Research Performance Progress Reports for the NIDDK.
StatusActive
Effective start/end date6/1/205/31/22

Funding

  • National Cancer Institute (7U01CA220401-03)

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.