huckiyang/EyeNet2: ACCV 18 - Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model
Type
SoftwareAuthors
Huck Yang, C. H.Liu, Fangyu
Huang, Jia-Hong

Tian, Meng
I-Hung Lin, M. D.
Liu, Yi Chieh
Morikawa, Hiromasa
Yang, Hao Hsiang
Tegner, Jesper

KAUST Department
Biological and Environmental Science and Engineering (BESE) DivisionBioscience Program
Earth Science and Engineering
Earth Science and Engineering Program
Physical Science and Engineering (PSE) Division
Date
2018-07-02Permanent link to this record
http://hdl.handle.net/10754/668078
Metadata
Show full item recordAbstract
ACCV 18 - Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning ModelPublisher
GithubAdditional Links
https://github.com/huckiyang/EyeNet2Relations
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