1 May 2000 Computer-aided diagnostic detection system of venous beading in retinal images
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The detection of venous beading in retinal images provides an early sign of diabetic retinopathy and plays an important role as a preprocessing step in diagnosing ocular diseases. We present a computer-aided diagnostic system to automatically detect venous beading of blood vessels. It comprises of two modules, referred to as the blood vessel extraction module (BVEM) and the venus beading detection module (VBDM). The former uses a bell-shaped Gaussian kernel with 12 azimuths to extract blood vessels while the latter applies a neural network-based shape cognitron to detect venous beading among the extracted blood vessels for diagnosis. Both modules are fully computer- automated. To evaluate the proposed system, 61 retinal images (32 beaded and 29 normal images) are used for performance evaluation.
Ching-Wen Yang, Ching-Wen Yang, DyeJyun Ma, DyeJyun Ma, ShuennChing Chao, ShuennChing Chao, Chuin-Mu Wang, Chuin-Mu Wang, Chia-Hsien Wen, Chia-Hsien Wen, ChienShun Lo, ChienShun Lo, Pau-Choo Chung, Pau-Choo Chung, Chein-I Chang, Chein-I Chang, } "Computer-aided diagnostic detection system of venous beading in retinal images," Optical Engineering 39(5), (1 May 2000). https://doi.org/10.1117/1.602487 . Submission:

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