Deep learning with image-based autism spectrum disorder analysis: A systematic review

MZ Uddin, MA Shahriar, MN Mahamood… - … Applications of Artificial …, 2024 - Elsevier
Autism spectrum disorder (ASD) is a collection of neuro-developmental disorders associated
with social, communicational, and behavioral difficulties. Early detection thereof is necessary …

Eye tracking biomarkers for autism spectrum disorder detection using machine learning and deep learning techniques

RA Jeyarani, R Senthilkumar - Research in Autism Spectrum Disorders, 2023 - Elsevier
Eye tracking is a promising tool for Autism Spectrum Disorder (ASD) detection in both
children and adults. An important aspect of social communication is keeping eye contact …

AI techniques of dermoscopy image analysis for the early detection of skin lesions based on combined CNN features

F Olayah, EM Senan, IA Ahmed, B Awaji - Diagnostics, 2023 - mdpi.com
Melanoma is one of the deadliest types of skin cancer that leads to death if not diagnosed
early. Many skin lesions are similar in the early stages, which causes an inaccurate …

Detection of autism spectrum disorder (ASD) in children and adults using machine learning

MS Farooq, R Tehseen, M Sabir, Z Atal - scientific reports, 2023 - nature.com
Autism spectrum disorder (ASD) presents a neurological and developmental disorder that
has an impact on the social and cognitive skills of children causing repetitive behaviours …

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 …

A machine learning framework for early-stage detection of autism spectrum disorders

SMM Hasan, MP Uddin, M Al Mamun, MI Sharif… - IEEE …, 2022 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a type of neurodevelopmental disorder that affects the
everyday life of affected patients. Though it is considered hard to completely eradicate this …

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 …