Automatic detection of microaneurysms in colour fundus images for diabetic retinopathy screening

被引：0
作者：
Sarni Suhaila Rahim
Chrisina Jayne
Vasile Palade
James Shuttleworth
机构：
[1] Coventry University,Faculty of Engineering and Computing
[2] Universiti Teknikal Malaysia Melaka,Faculty of Information and Communication Technology
来源：
Neural Computing and Applications | 2016年 / 27卷
关键词：
Diabetic retinopathy; Eye screening; Colour fundus images; Image processing; Microaneurysms;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Regular eye screening is essential for the early detection and treatment of the diabetic retinopathy. This paper presents a novel automatic screening system for diabetic retinopathy that focuses on the detection of the earliest visible signs of retinopathy, which are microaneurysms. Microaneurysms are small dots on the retina, formed by ballooning out of a weak part of the capillary wall. The detection of the microaneurysms at an early stage is vital, and it is the first step in preventing the diabetic retinopathy. The paper first explores the existing systems and applications related to diabetic retinopathy screening, with a focus on the microaneurysm detection methods. The proposed decision support system consists of an automatic acquisition, screening and classification of diabetic retinopathy colour fundus images, which could assist in the detection and management of the diabetic retinopathy. Several feature extraction methods and the circular Hough transform have been employed in the proposed microaneurysm detection system, alongside the fuzzy histogram equalisation method. The latter method has been applied in the preprocessing stage of the diabetic retinopathy eye fundus images and provided improved results for detecting the microaneurysms.
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页码：1149 / 1164
页数：15
相关论文
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  • [1] Wild S(2004)Global prevalence of diabetes estimates: estimates for the year 2000 and projections for 2030 Diabetes Care 27 1047-1053
  • [2] Roglic G(1972)Use of the Hough transformation to detect lines and curves in pictures Commun ACM 15 11-15
  • [3] Green A(2008)Detection of microaneurysms in retinal angiography images using the circular Hough transform J Adv Comput Res 3 1-12
  • [4] Sicree R(2000)Automated detection of microaneurysms in digital red-free photographs: a diabetic retinopathy screening tool Diabet Med 17 588-594
  • [5] King H(2010)Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs IEEE Trans Med Imaging 29 185-195
  • [6] Duda DO(2008)Optimal wavelet transform for the detection of microaneurysms in retina photographs IEEE Trans Med Imaging 27 1230-1241
  • [7] Hart PE(2009)Mixture model-based clustering and logistic regression for automatic detection of microaneurysms in retinal images Med Imaging 10 812088-314
  • [8] Amiri SA(2009)Hierarchical detection of red lesions in retinal images by multiscale correlation filtering Med Imaging 10 2007913-771
  • [9] Hassanpour H(2009)Automated microaneurysm detection method based on double-ring filter in retinal fundus images Med Imaging 7 294-305
  • [10] Shahiri M(2013)Automated detection of microaneurysms using robust blob descriptors SPIE Med Imaging 44 767-863
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