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DeepDisc: Optic Disc Segmentation Based on Atrous Convolution and Spatial Pyramid Pooling
Gu, Zaiwang[1]; Liu, Peng[2]; Zhou, Kang[3]; Jiang, Yuming[4]; Mao, Haoyu[5]; Cheng, Jun[6]; Liu, Jiang[7]
2018
会议名称1st International Workshop on Computational Pathology, COMPAY 2018 and 5th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2018 Held in Conjunction with MICCAI 2018
会议日期2018-09-16
页码253-260
URL标识查看原文
内容类型会议论文
URI标识http://www.corc.org.cn/handle/1471x/2170707
专题上海大学
作者单位[1]Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Beijing, China |School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China [2]Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Beijing, China |University of Electronic Science and Technology of China, Chengdu, China [3]School of Information Science and Technology, ShanghaiTech University, Shanghai, China[4]Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Beijing, China |University of Electronic Science and Technology of China, Chengdu, China [5]Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Beijing, China [6]Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Beijing, China [7]Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Beijing, China
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GB/T 7714
Gu, Zaiwang[1],Liu, Peng[2],Zhou, Kang[3],et al. DeepDisc: Optic Disc Segmentation Based on Atrous Convolution and Spatial Pyramid Pooling[C]. 见:1st International Workshop on Computational Pathology, COMPAY 2018 and 5th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2018 Held in Conjunction with MICCAI 2018. 2018-09-16.
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