Published January 1, 2022
| Version v1
Journal article
Open
Investigation of the Role of Convolutional Neural Network Architectures in the Diagnosis of Glaucoma using Color Fundus Photography
Creators
- 1. Eskisehir Osmangazi Univ, Dept Ophthalmol, Fac Med, Eskisehir, Turkey
- 2. Izmir Univ Econ, Dept Elect & Elect Engn, Fac Engn, Izmir, Turkey
- 3. Maltepe Univ, Dept Ophthalmol, Fac Med, Istanbul, Turkey
Description
Objectives: To evaluate the performance of convolutional neural network (CNN) architectures to distinguish eyes with glaucoma from normal eyes.
Files
bib-450eac7a-844c-4e0c-9c5d-20130ab4cbe4.txt
Files
(291 Bytes)
| Name | Size | Download all |
|---|---|---|
|
md5:ffff257e3832fd9a7bf0dc6942c609d2
|
291 Bytes | Preview Download |