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ISCAS
2003
IEEE
345views Hardware» more  ISCAS 2003»
13 years 10 months ago
An efficient blood vessel detection algorithm for retinal images using local entropy thresholding
This paper presents an efficient method for automatic detection and extraction of blood vessels in retinal images. Specifically, we also delineate vascular intersections/crossov...
Thitiporn Chanwimaluang, Guoliang Fan
ICIP
2003
IEEE
14 years 6 months ago
An efficient algorithm for extraction of anatomical structures in retinal images
This paper presents efficient methods for automatic detection and extraction of blood vessels and optic disc (OD) both of which are two prominent anatomical structures in ocular f...
Thitiporn Chanwimaluang, Guoliang Fan
ICPR
2006
IEEE
14 years 6 months ago
A New Approach to Automated Retinal Vessel Segmentation Using Multiscale Analysis
Computer based analysis for automated segmentation of blood vessels in retinal images will help eye care specialists screen larger populations for vessel abnormalities. However, a...
Qin Li, Lei Zhang, David Zhang, Prabir Bhattachary...
CVPR
2009
IEEE
14 years 12 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...
MICCAI
2006
Springer
14 years 5 months ago
Multi-resolution Vessel Segmentation Using Normalized Cuts in Retinal Images
Abstract. Retinal vessel segmentation is an essential step of the diagnoses of various eye diseases. In this paper, we propose an automatic, efficient and unsupervised method based...
Wenchao Cai, Albert C. S. Chung