Diabetic retinopathy grading using ResNet convolutional neural network
Designing and developing automated systems to detect and grade Diabetic Retinopathy (DR) is one of the recent research areas in the world of medical image applications since it is considered one of the main causes of total blindness for people who have diabetes in the mid-age. In this paper, a com...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2020
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/86521/1/86521_Diabetic%20Retinopathy%20Grading%20Using%20ResNet_new.pdf http://irep.iium.edu.my/86521/7/86521_Diabetic%20retinopathy%20grading_scopus.pdf http://irep.iium.edu.my/86521/ https://ieeexplore-ieee-org.ezlib.iium.edu.my/document/9289822 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English English |