Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/70866
標題: Computer-aided diagnostic detection system of venous beading in retinal images
作者: Yang, C.W.
Ma, D.J.
Chao, S.C.
Wang, C.M.
Wen, C.H.
Lo, C.S.
Chung, P.C.
Chang, C.I.
關鍵字: bell-shaped Gaussian matched filter;blood vessel extraction module;detection;extraction;neural network;retinal images;shape cognitron;venus beading detection module;algorithm
Project: Optical Engineering
期刊/報告no:: Optical Engineering, Volume 39, Issue 5, Page(s) 1293-1303.
摘要: 
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. (C) 2000 Society of Photo-Optical Instrumentation Engineers.
URI: http://hdl.handle.net/11455/70866
ISSN: 0091-3286
DOI: 10.1117/1.602487
Appears in Collections:期刊論文

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