6 papers
Acute Lymphoblastic Leukemia Diagnosis Employing YOLOv11, YOLOv8, ResNet50, and Inception-ResNet-v2 Deep Learning Models
Alaa Awad, Salah A. Aly
Thousands of individuals succumb annually to leukemia alone. As artificial intelligence-driven technologies continue to evolve and advance, the question of their applicability and…
Revolutionizing Communication with Deep Learning and XAI for Enhanced Arabic Sign Language Recognition
Mazen Balat, Rewaa Awaad, Ahmed B. Zaky +1
This study introduces an integrated approach to recognizing Arabic Sign Language (ArSL) using state-of-the-art deep learning models such as MobileNetV3, ResNet50, and EfficientNet-…
Early Diagnosis of Acute Lymphoblastic Leukemia Using YOLOv8 and YOLOv11 Deep Learning Models
Alaa Awad, Salah A. Aly
Leukemia, a severe form of blood cancer, claims thousands of lives each year. This study focuses on the detection of Acute Lymphoblastic Leukemia (ALL) using advanced image process…
Explainable AI in Handwriting Detection for Dyslexia Using Transfer Learning
Mahmoud Robaa, Mazen Balat, Rewaa Awaad +2
This study introduces an explainable AI (XAI) framework for the detection of dyslexia through handwriting analysis, achieving an impressive test precision of 99.65%. The framework…
Diagnosis of Malignant Lymphoma Cancer Using Hybrid Optimized Techniques Based on Dense Neural Networks
Salah A. Aly, Ali Bakhiet, Mazen Balat
Lymphoma diagnosis, particularly distinguishing between subtypes, is critical for effective treatment but remains challenging due to the subtle morphological differences in histopa…
Advanced Arabic Alphabet Sign Language Recognition Using Transfer Learning and Transformer Models
Mazen Balat, Rewaa Awaad, Hend Adel +2
This paper presents an Arabic Alphabet Sign Language recognition approach, using deep learning methods in conjunction with transfer learning and transformer-based models. We study…