Machine Learning Framework For Automated Detection of Diabetic Lesion

This book offers strong emphasis on diabetic retinopathy including different clinical as well as machine learning approach for detection of diabetic lesion symptoms such as microaneurysms hemorrhages exudates and cotton wool spots. Automated detection of diabetic lesions decreases the workload of ophthalmologist and cost in diabetic retinopathy screening program. Early and timely treatment of diabetic eye significantly reduces the risk of vision loss.