标题:Deep Random Walk for Drusen Segmentation from Fundus Images
作者:Yan, Fang; Cui, Jia; Wang, Yu; Liu, Hong; Liu, Hui; Wei, Benzheng; Yin, Yilong; Zheng, Yuanjie
通讯作者:Zheng, Yuanjie;Zheng, YJ;Zheng, YJ;Zheng, YJ;Zheng, YJ
作者机构:[Yan, Fang; Cui, Jia; Wang, Yu; Liu, Hong; Zheng, Yuanjie] Shandong Normal Univ, Sch Informat Sci & Engn, Jinan, Shandong, Peoples R China.; [Liu, H 更多
会议名称:21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
会议日期:SEP 16-20, 2018
来源:MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT II
出版年:2018
卷:11071
页码:48-55
DOI:10.1007/978-3-030-00934-2_6
关键词:Drusen segmentation; Retinal fundus images; Deep feature extraction;; Affinity learning; Random walk
摘要:This paper presents a deep random walk technique for drusen segmentation from fundus images. It is formulated as a deep learning architecture which learns deep representations from fundus images and specify an optimal pixel-pixel affinity. Specifically, the proposed architecture is mainly composed of three parts: a deep feature extraction module to learn both semantic-level and low-level representation of image, an affinity learning module to get pixel-pixel affinities for formulating the transition matrix of random walk and a random walk module which propagates manual labels. The power of our technique comes from the fact that the learning procedures for deep image representations and pixel-pixel affinities are driven by the random walk process. The accuracy of our proposed algorithm surpasses state-of-the-art drusen segmentation techniques as validated on the public STARE and DRIVE databases.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054082215&doi=10.1007%2f978-3-030-00934-2_6&partnerID=40&md5=60cdbf651385197d46a4a6e67e9a4611
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