[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 …

An improved breast cancer disease prediction system using ML and PCA

S Laghmati, S Hamida, K Hicham, B Cherradi… - Multimedia Tools and …, 2024 - Springer
Computer-aided diagnosis (CAD) systems based on machine learning (ML) techniques
have altered the field of medical research. The deployement of such models to classify …

Predicting patients with Parkinson's disease using Machine Learning and ensemble voting technique

S Saleh, B Cherradi, O El Gannour, S Hamida… - Multimedia Tools and …, 2024 - Springer
Parkinson's disease is the second most common neurological disorder that causes
significant physical disabilities, decreases the quality of life, and does not have a cure …

[PDF][PDF] COVID-19 detection on X-ray images using a combining mechanism of pre-trained CNNs

O El Gannour, S Hamida, S Saleh… - … Journal of Advanced …, 2022 - researchgate.net
The COVID-19 infection was sparked by the severe acute respiratory syndrome SARS-CoV-
2, as mentioned by the World Health Organization, and originated in Wuhan, Republic of …

A Sco** Review of Large Language Models: Architecture and Applications

H Moujahid, K Boutahar, O El Gannour… - … Research in Applied …, 2024 - ieeexplore.ieee.org
Large Language Models (LLMs) have recently exhibited impressive usability of natural
language processing to perform different outcomes. A plethora of research contributions …

[HTML][HTML] Design and implementation of a New Blockchain-based digital health passport: A Moroccan case study

SA Bennacer, A Aaroud, K Sabiri, MA Rguibi… - Informatics in Medicine …, 2022 - Elsevier
In the context of COVID-19 pandemic, the Moroccan Interior and Health Ministries have
proposed to use the health pass with a QR code to identify vaccinated people. Additionally …

Deep learning technique for classification of breast cancer using ultrasound images

M Zourhri, S Hamida, N Akouz… - … Research in Applied …, 2023 - ieeexplore.ieee.org
Breast cancer is a significant medical and social issue that draws attention from the global
scientific community. The classification of ultrasound images of breast cancer plays a crucial …

Data balancing through data augmentation to improve transfer learning performance for skin disease prediction

S Hamida, O El Gannour, A Maafiri… - … Research in Applied …, 2023 - ieeexplore.ieee.org
Data balancing through data augmentation is a crucial step in improving the generalization
of transfer learning for skin disease prediction. Many skin diseases, such as melanoma, are …

Efficient medical diagnosis hybrid system based on RF-DNN mixed model for skin diseases classification

S Hamida, O El Gannour, Y Lamalem… - … Research in Applied …, 2023 - ieeexplore.ieee.org
Accurate and efficient diagnosis is essential for effective treatment and management of
these diseases. The current diagnostic methods rely mostly on visual inspection by …

Assessing the performance of deep learning models for colon polyp classification using computed tomography scans

K Hicham, S Laghmati, S Hamida… - … Research in Applied …, 2023 - ieeexplore.ieee.org
the diagnosis of Colorectal and Rectum Cancer (CRC) is a global concern as it is the third
most commonly diagnosed cancer. Early detection and treatment of polyps can prevent the …