huckiyang/EyeNet2: ACCV 18 - Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model

Type
Software
Authors
Huck Yang, C. H.
Liu, Fangyu
Huang, Jia-Hong cc
Tian, Meng
I-Hung Lin, M. D.
Liu, Yi Chieh
Morikawa, Hiromasa
Yang, Hao Hsiang
Tegner, Jesper cc
KAUST Department
Biological and Environmental Science and Engineering (BESE) Division
Bioscience Program
Earth Science and Engineering
Earth Science and Engineering Program
Physical Science and Engineering (PSE) Division
Date
2018-07-02
Permanent link to this record
http://hdl.handle.net/10754/668078

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Abstract
ACCV 18 - Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model
Publisher
Github
Additional Links
https://github.com/huckiyang/EyeNet2
Relations
Is Supplement To:
  • [Conference Paper]
    Huck Yang, C.-H., Liu, F., Huang, J.-H., Tian, M., I-Hung Lin, M. D., Liu, Y. C., … Tegnèr, J. (2019). Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. Lecture Notes in Computer Science, 323–338. doi:10.1007/978-3-030-21074-8_28. DOI: 10.1007/978-3-030-21074-8_28 Handle: 10754/656187
Collections
Biological and Environmental Science and Engineering (BESE) Division; Bioscience Program; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program; Software