NSL-MHA-CNN: a novel CNN architecture for robust diabetic retinopathy prediction against adversarial attacks
O Daanouni, B Cherradi, A Tmiri - IEEE Access, 2022 - ieeexplore.ieee.org
Convolution Neural Network (CNN) models have gained ground in research activities
particularly in medical images used for Diabetes Retinopathy (DR) detection. X-ray, MRI …
particularly in medical images used for Diabetes Retinopathy (DR) detection. X-ray, MRI …
[PDF][PDF] Brain tumor detection using mri images and convolutional neural network
D Lamrani, B Cherradi, O El Gannour… - … Journal of Advanced …, 2022 - researchgate.net
A brain tumor is the cause of abnormal growth of cells in the brain. Magnetic resonance
imaging (MRI) is the most practical method for detecting brain tumors. Through these MRIs …
imaging (MRI) is the most practical method for detecting brain tumors. Through these MRIs …
[PDF][PDF] Combining CNN and Grad-Cam for COVID-19 Disease Prediction and Visual Explanation.
H Moujahid, B Cherradi, M Al-Sarem… - … Automation & Soft …, 2022 - academia.edu
With daily increasing of suspected COVID-19 cases, the likelihood of the virus mutation
increases also causing the appearance of virulent variants having a high level of replication …
increases also causing the appearance of virulent variants having a high level of replication …
Concatenation of pre-trained convolutional neural networks for enhanced COVID-19 screening using transfer learning technique
Coronavirus (COVID-19) is the most prevalent coronavirus infection with respiratory
symptoms such as fever, cough, dyspnea, pneumonia, and weariness being typical in the …
symptoms such as fever, cough, dyspnea, pneumonia, and weariness being typical in the …
Performance evaluation of transfer learning technique for automatic detection of patients with COVID-19 on X-Ray images
A new pandemic of coronavirus (COVID19) reported for the first time in Wuhan, China. This
new virus has spread rapidly around the world with fever, cough, and difficulty breathing …
new virus has spread rapidly around the world with fever, cough, and difficulty breathing …
A Novel COVID‐19 Diagnosis Support System Using the Stacking Approach and Transfer Learning Technique on Chest X‐Ray Images
COVID‐19 is an infectious disease‐causing flu‐like respiratory problem with various
symptoms such as cough or fever, which in severe cases can cause pneumonia. The aim of …
symptoms such as cough or fever, which in severe cases can cause pneumonia. The aim of …
Optimization of machine learning algorithms hyper-parameters for improving the prediction of patients infected with COVID-19
In the modeling domain, the selection of appropriate hyper-parameters for classification or
prediction algorithms is a difficult task, which has an impact on generalization capacity and …
prediction algorithms is a difficult task, which has an impact on generalization capacity and …
[PDF][PDF] Convolutional neural network based classification of patients with pneumonia using X-ray lung images
H Moujahid, B Cherradi, OE Gannour… - Advances in Science …, 2020 - academia.edu
Analysis and classification of lung diseases using X-ray images is a primary step in the
procedure of pneumonia diagnosis, especially in a critical period as pandemic of COVID-19 …
procedure of pneumonia diagnosis, especially in a critical period as pandemic of COVID-19 …
Screening medical face mask for coronavirus prevention using deep learning and AutoML
In the last two years, the COVID-19 pandemic causes a global health crisis around the
world. On the other hand, given the current shortage and limits of medical resources, the …
world. On the other hand, given the current shortage and limits of medical resources, the …
Prediction of patients with heart disease using artificial neural network and adaptive boosting techniques
O Terrada, B Cherradi, S Hamida… - 2020 3rd …, 2020 - ieeexplore.ieee.org
Machine learning (ML) technique behind the most existing abilities fields in several areas
like languages processing, robotics, including medicine. The most important medical …
like languages processing, robotics, including medicine. The most important medical …