Title:Computer Aided Systems for Diabetic Retinopathy Detection Using Digital Fundus Images: A Survey
VOLUME: 12 ISSUE: 4
Author(s):Imran Qureshi, Muhammad Sharif, Mussarat Yasmin, Mudassar Raza and Muhammad Y. Javed
Affiliation:Department of Computer Science, COMSATS Institute of Information Technology, Wah Cant, Pakistan.
Keywords:CAD systems, diabetic retinopathy, exudates, glaucoma, micro aneurysms, optic disc.
Abstract:Diabetic retinopathy (DR), glaucoma and hypertension are the most
common forms of retinal diseases and diagnosis of these diseases at their early
stages can prevent people from blindness. In practice, computer aided detection
(CAD) systems are being developed for the detection of these eye diseases. These
CAD systems provide second opinion to less experienced opthalmologists for the
detection and analysis of these diseases using digital fundus images. In this paper,
the state-of-the-art CAD systems are studied and compared systematically in terms
of their classification accuracy, methodological approach and efficiency. The
comparison results indicate that the accuracy of these CAD systems is not up to
the mark.
