Frobenius deep feature fusion architecture to detect diabetic retinopathy

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...

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Bibliographic Details
Main Authors: C. Priyadharsini, Y. Asnath Victy Phamila
Format: Article
Language:English
Published: Springer 2025-03-01
Series:Discover Applied Sciences
Subjects:
Diabetic retinopathy multiclass classification
Convolutional neural network
Feature engineering
Frobenius norm
Feature selection
Ensemble learning
Online Access:https://doi.org/10.1007/s42452-025-06575-4
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https://doi.org/10.1007/s42452-025-06575-4

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