Retinal vessel segmentation in colour fundus images using Extreme Learning Machine

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• 作者：Chengzhang Zhu^a ; ^c ; Beiji Zou^a ; ^c ; Rongchang Zhao^a ; ^c ; Jinkai Cui^a ; ^c ; Xuanchu Duan^b ; ^c ; Zailiang Chen^a ; ^c ; Yixiong Liang^a ; ^c ; ^{yxliang@csu.edu.cn}
• 关键词：Colour fundus image ; Retinal vessel segmentation ; Feature extraction ; Supervised learning ; Computer-aided diagnosis
• 刊名：Computerized Medical Imaging and Graphics
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：55
• 期：Complete
• 页码：68-77
• 全文大小：1900 K
• 卷排序：55

文摘

The feature like phase congruency is used to enhance the robustness of segmentation. The ELM based classifier is modeled to fast and accurate retinal vessel segmentation. We create a new Chinese fundus image database, Retinal Images for Screening (RIS).