Comparative Analysis of Vanilla CNN and Transfer Learning Models for Glaucoma Detection
Glaucoma is a leading cause of blindness worldwide and results from high eye pressure-induced damage to the optic nerves, thereby preventing visual information from reaching the brain. While glaucoma is incurable in its advanced stages, its early detection improves the treatment outcome. Recently, c...
Saved in:
Main Authors: | Brendan Ubochi, Abayomi E. Olawumi, John Macaulay, Oyawoye I. Ayomide, Kayode F. Akingbade |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-01-01
|
Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/2024/8053117 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Transfer Learning for CNN-Based Damage Detection in Civil Structures with Insufficient Data
by: Mona Chamangard, et al.
Published: (2022-01-01) -
Vanilla Cultivation in Southern Florida
by: Alan H. Chambers, et al.
Published: (2019-11-01) -
Vanilla Growing in South Florida
by: Xingbo Wu, et al.
Published: (2024-02-01) -
Vanilla Cultivation in Southern Florida
by: Alan H. Chambers, et al.
Published: (2019-11-01) -
Vanilla Cultivation in Southern Florida
by: Alan Chambers, et al.
Published: (2023-01-01)