Fast Detection of Microaneurysms in Color Fundus Images

被引：0
|
作者：
Chen, Sean H. F. [1 ]
Hsiao, Han C. W. [1 ]
机构：
[1] Asia Univ, Dept Bioinformat & Med Engn, Taichung, Taiwan
来源：
2016 IEEE SECOND INTERNATIONAL CONFERENCE ON MULTIMEDIA BIG DATA (BIGMM) | 2016年
关键词：
microaneurysm detection; fundus image; AUTOMATIC DETECTION; DIABETIC-RETINOPATHY; PHOTOGRAPHS; RETINA; TRANSFORM;
D O I：
10.1109/BigMM.2016.65
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Diabetic retinopathy is known to be one of the most frequent and serious eye diseases that typically cause blindness in adults between 20 and 60 years of age. Microaneurysm (MA) is one of the most important syndromes in color fundus images. A tool for automatic detection of MAs can significantly reduce the workload of the ophthalmologists. A multi-stage strategy to screen candidate MAs is used in this study. The computation time for screening one fundus image of size 1500x1152 is 16.8 seconds. Ten verified MAs are successfully detected. Another 5 putative spots need to be verified. The result demonstrates that the proposed approach is efficient yet effective.
引用
收藏
页码：365 / 371
页数：7
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