Eye tracking-based diagnosis and early detection of autism spectrum disorder using machine learning and deep learning techniques

IA Ahmed, EM Senan, TH Rassem, MAH Ali… - Electronics, 2022 - mdpi.com
Eye tracking is a useful technique for detecting autism spectrum disorder (ASD). One of the
most important aspects of good learning is the ability to have atypical visual attention. The …

Multi-method analysis of medical records and MRI images for early diagnosis of dementia and Alzheimer's disease based on deep learning and hybrid methods

BA Mohammed, EM Senan, TH Rassem, NM Makbol… - Electronics, 2021 - mdpi.com
Dementia and Alzheimer's disease are caused by neurodegeneration and poor
communication between neurons in the brain. So far, no effective medications have been …

Deep learning and machine learning techniques of diagnosis dermoscopy images for early detection of skin diseases

I Abunadi, EM Senan - Electronics, 2021 - mdpi.com
With the increasing incidence of severe skin diseases, such as skin cancer, endoscopic
medical imaging has become urgent for revealing the internal and hidden tissues under the …

Deep and hybrid learning technique for early detection of tuberculosis based on X-ray images using feature fusion

SM Fati, EM Senan, N ElHakim - Applied Sciences, 2022 - mdpi.com
Tuberculosis (TB) is a fatal disease in developing countries, with the infection spreading
through direct contact or the air. Despite its seriousness, the early detection of tuberculosis …

Deep learning algorithms for detection and classification of gastrointestinal diseases

M Hmoud Al-Adhaileh, E Mohammed Senan… - …, 2021 - Wiley Online Library
Currently, nearly two million patients die of gastrointestinal diseases worldwide. Video
endoscopy is one of the latest technologies in the medical imaging field for the diagnosis of …

Hybrid techniques for the diagnosis of acute lymphoblastic leukemia based on fusion of CNN features

IA Ahmed, EM Senan, HSA Shatnawi, ZM Alkhraisha… - Diagnostics, 2023 - mdpi.com
Acute lymphoblastic leukemia (ALL) is one of the deadliest forms of leukemia due to the
bone marrow producing many white blood cells (WBC). ALL is one of the most common …

Early diagnosis of oral squamous cell carcinoma based on histopathological images using deep and hybrid learning approaches

SM Fati, EM Senan, Y Javed - Diagnostics, 2022 - mdpi.com
Oral squamous cell carcinoma (OSCC) is one of the most common head and neck cancer
types, which is ranked the seventh most common cancer. As OSCC is a histological tumor …

Multi-techniques for analyzing x-ray images for early detection and differentiation of pneumonia and tuberculosis based on hybrid features

IA Ahmed, EM Senan, HSA Shatnawi, ZM Alkhraisha… - Diagnostics, 2023 - mdpi.com
An infectious disease called tuberculosis (TB) exhibits pneumonia-like symptoms and traits.
One of the most important methods for identifying and diagnosing pneumonia and …

Automatic classification of colour fundus images for prediction eye disease types based on hybrid features

A Shamsan, EM Senan, HSA Shatnawi - Diagnostics, 2023 - mdpi.com
Early detection of eye diseases is the only solution to receive timely treatment and prevent
blindness. Colour fundus photography (CFP) is an effective fundus examination technique …

Multi-method diagnosis of CT images for rapid detection of intracranial hemorrhages based on deep and hybrid learning

BA Mohammed, EM Senan, ZG Al-Mekhlafi… - Electronics, 2022 - mdpi.com
Intracranial hemorrhaging is considered a type of disease that affects the brain and is very
dangerous, with high-mortality cases if there is no rapid diagnosis and prompt treatment. CT …