Published August 24, 2019
| Version v1
Dataset
Open
A Self-Adaptive Deep Learning Method for Automated Eye Laterality Detection Based on Color Fundus Photography
Authors/Creators
- 1. School of Computer Science, University of Technology, Sydney, Australia
- 2. State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
- 3. Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Australia
- 4. Guangzhou Healgoo Interactive Medical Technology Co. Ltd., Guangzhou, China
Description
The data file and deep learning model file for "A Self-Adaptive Deep Learning Method for Automated Eye Laterality Detection Based on Color Fundus Photography"
Notes
To be completed before 15 Sep 2019
Files
Files
(42 Bytes)
| Name | Size | Download all |
|---|---|---|
|
md5:9f1b4323bb1e327f06e87040c73d4742
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42 Bytes | Download |
Additional details
Related works
- Is documented by
- 10.1371/journal.pone.0222025 (DOI)