Frobenius deep feature fusion architecture to detect diabetic retinopathy
Abstract Purpose Diabetic retinopathy is a medical complication affecting the retina of patients prone to prolonged periods of Diabetes mellitus. Early detection and diagnosis are essential since the symptoms are subtle at the early stages. It can result in permanent vision impairment at advanced st...
Saved in:
| Main Authors: | C. Priyadharsini, Y. Asnath Victy Phamila |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-03-01
|
| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-06575-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deep hybrid architecture with stacked ensemble learning for binary classification of retinal disease
by: Priyadharsini C, et al.
Published: (2024-12-01) -
A Class of Non-Hopf Bi-Frobenius Algebras Generated by <i>n</i> Elements
by: Zhan Fa, et al.
Published: (2025-04-01) -
Optimization and prediction of corporate credit rating through advanced feature selection based on AI and deep learning
by: Jumanah Ahmed Darwish
Published: (2025-08-01) -
THE NON-DEGENERACY OF THE SKEW-SYMMETRIC BILINEAR FORM OF THE FINITE DIMENSIONAL REAL FROBENIUS LIE ALGEBRA
by: Edi Kurniadi
Published: (2022-06-01) -
Joint feature selection and classification of low-resolution satellite images using the SAT-6 dataset
by: Rajalaxmi Padhy, et al.
Published: (2025-09-01)