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FIVES: A Fundus Image Dataset for Artificial Intelligence based Vessel Segmentation.
Jin, Kai; Huang, Xingru; Zhou, Jingxing; Li, Yunxiang; Yan, Yan; Sun, Yibao; Zhang, Qianni; Wang, Yaqi; Ye, Juan.
Affiliation
  • Jin K; Department of Ophthalmology, the Second Affiliated Hospital of Zhejiang University, College of Medicine, Zhejiang University, Hangzhou, 310009, China.
  • Huang X; School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, United Kingdom.
  • Zhou J; Department of Ophthalmology, the Second Affiliated Hospital of Zhejiang University, College of Medicine, Zhejiang University, Hangzhou, 310009, China.
  • Li Y; College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, 310018, China.
  • Yan Y; Department of Ophthalmology, the Second Affiliated Hospital of Zhejiang University, College of Medicine, Zhejiang University, Hangzhou, 310009, China.
  • Sun Y; School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, United Kingdom.
  • Zhang Q; School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, United Kingdom.
  • Wang Y; College of Media Engineering, Communication University of Zhejiang, Hangzhou, 310018, China. wangyaqi@cuz.edu.cn.
  • Ye J; Department of Ophthalmology, the Second Affiliated Hospital of Zhejiang University, College of Medicine, Zhejiang University, Hangzhou, 310009, China. yejuan@zju.edu.cn.
Sci Data ; 9(1): 475, 2022 08 04.
Article in En | MEDLINE | ID: mdl-35927290
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Retinal Vessels / Fundus Oculi Type of study: Guideline Limits: Humans Language: En Journal: Sci Data Year: 2022 Document type: Article
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Retinal Vessels / Fundus Oculi Type of study: Guideline Limits: Humans Language: En Journal: Sci Data Year: 2022 Document type: Article