Li, Baoxin

Classification of diabetic retinopathy images using multi-class multiple-instance learning based on color correlogram features.

Principal Investigator: 

Exploring Clinically-relevant Image Retrieval for Diabetic Retinopathy Diagnosis - Final Report

Principal Investigator: 

Automated analysis of diabetic retinopathy images: principles, recent developments, and emerging trends.

Principal Investigator: 

Exploring Clinically-relevant Image Retrieval for Diabetic Retinopathy Diagnosis

Description: 

This research project explored an innovative method to retrieve clinically relevant images for facilitating timely and accurate evaluation of diabetic retinopathy.

Principal Investigator: 
Project Dates: 
August 1, 2011 to May 31, 2014