A system for detecting fundus lesions caused by diabetic retinopathy from fundus images is being developed. The system can screen the images in advance in order to reduce the insp...
Automated detection of lesions in retinal images can assist
in early diagnosis and screening of a common disease:
Diabetic Retinopathy. A robust and computationally
efficient ap...
Saiprasad Ravishankar (University of Illinois Urba...
Abstract. The detection of vascular bifurcations in retinal fundus images is important for finding signs of various cardiovascular diseases. We propose a novel method to detect su...
This paper describes a new framework for the automated tracking of the central retinal vein in retinal images. The procedure first computes a binary image of the retinal vasculatur...
Size Functions and Support Vector Machines are used to implement a new automatic classifier of melanocytic lesions. This is mainly based on a qualitative assessment of asymmetry. ...