NSL-MHA-CNN: A Novel CNN Architecture for Robust Diabetic Retinopathy Prediction Against Adversarial Attacks

NSL-MHA-CNN: A Novel CNN Architecture for Robust Diabetic Retinopathy Prediction Against Adversarial Attacks

Convolution Neural Network (CNN) models have gained ground in research activities particularly in medical images used for Diabetes Retinopathy (DR) detection. X-ray, MRI, and CT scans have all been used to validate CNN models, with classification accuracy generally reaching that of trained doctors....

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Bibliographic Details
Main Authors: Othmane Daanouni, Bouchaib Cherradi, Amal Tmiri
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Fast gradient sign method
malicious attack
MobileNet
multi-head attention
neural structure learning
vulnerability in CNN
Online Access:https://ieeexplore.ieee.org/document/9903611/

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