文章基本信息

标题：A Fast Localization and Extraction of Microaneurysm for Early Detection of Diabetic Retionopathy
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作者：Yun Cheng ; Weirong Liu ; Chenglong Wang 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：16400-16405
DOI：10.1016/j.ifacol.2020.12.684
语种：English
出版社：Elsevier
摘要：AbstractDiabetic Retinopathy (DR) is regarded as one of the leading causes of blindness globally. Microaneurysms (MAs) detection is essential to the computer aided diagnosis of DR at an early stage. However, the automatic detection of MAs is still a challenging problem as they are too tiny to be recognized and hard to be distinguished from other similar lesions. Therefore, we propose an efficient localization and extraction method for MAs, where the edge detection and Random Forest are utilized to enhance the accuracy of detection results. Finally, the proposed method is evaluated based on the public retinal image database MESSIDOR. Numerical results show that high accuracy and timely detection can be obtained with the proposed solution.
关键词：KeywordsMicroaneurysmDiabetic RetionopathyCLAHEEdge detectionRandom Forest