Jhhuangkay/DeepOpht-Medical-Report-Generation-for-Retinal-Images-via-Deep-Models-and-Visual-Explanation:
Type
SoftwareAuthors
Huang, Jia-HongLiu, Fangyu
Tian, Meng
Liu, Yi-Chieh
Wu, Ting-Wei
Lin, I-Hung
Wang, Kang
Morikawa, Hiromasa
Chang, Hernghua
Tegner, Jesper

Worring, Marcel
Yang, C.-H. Huck
KAUST Department
King Abdullah University of Science and Technology (KAUST)Date
2020-10-31Permanent link to this record
http://hdl.handle.net/10754/670118
Metadata
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GithubAdditional Links
https://github.com/Jhhuangkay/DeepOpht-Medical-Report-Generation-for-Retinal-Images-via-Deep-Models-and-Visual-ExplanationRelations
Is Supplement To:- [Conference Paper]
Huang, J.-H., Huck Yang, C.-H., Liu, F., Tian, M., Liu, Y.-C., Wu, T.-W., … Worring, M. (2021). DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). doi:10.1109/wacv48630.2021.00249. DOI: 10.1109/WACV48630.2021.00249 Handle: 10754/665874 - [Preprint]
Title: DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. Publication Date: 2020-11-01. Handle: 10754/665874 arXiv: 2011.00569