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CVPR
2000
IEEE
10 years 5 months ago
An Effective Approach to Detect Lesions in Color Retinal Images
Diabetic-related eye diseases are the most common cause of blindness in the world. So far the most effective treatment for these eye diseases is early detection through regular sc...
Huan Wang, Wynne Hsu, Kheng Guan Goh, Mong-Li Lee
CVPR
2009
IEEE
11 years 8 months ago
Automated Feature Extraction for Early Detection of Diabetic Retinopathy in Fundus Images
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...
TMI
2010
148views more  TMI 2010»
9 years 11 months ago
General Retinal Vessel Segmentation Using Regularization-Based Multiconcavity Modeling
—Detecting blood vessels in retinal images with the presence of bright and dark lesions is a challenging unsolved problem. In this paper, a novel multiconcavity modeling approach...
Benson S. Y. Lam, Yongsheng Gao, Alan Wee-Chung Li...
MICCAI
2003
Springer
11 years 2 months ago
Drusen Detection in a Retinal Image Using Multi-level Analysis
This paper concerns a method to automatically detect drusen in a retinal image without human supervision or interaction. We use a multi-level approach, beginning with classificatio...
Lee Brandon, Adam Hoover
TMI
2008
84views more  TMI 2008»
10 years 1 months ago
Optimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs
In this article, we propose an automatic method to detect microaneurysms in retina photographs. Microaneurysms are the most frequent and usually the first lesions to appear as a co...
Gwénolé Quellec, Mathieu Lamard, P. ...
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