Eye tracking-based diagnosis and early detection of autism spectrum disorder using machine learning and deep learning techniques
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 …
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 …
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
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 …
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
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 …
through direct contact or the air. Despite its seriousness, the early detection of tuberculosis …
Automatic and early detection of Parkinson's disease by analyzing acoustic signals using classification algorithms based on recursive feature elimination method
Parkinson's disease (PD) is a neurodegenerative condition generated by the dysfunction of
brain cells and their 60–80% inability to produce dopamine, an organic chemical …
brain cells and their 60–80% inability to produce dopamine, an organic chemical …
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 …
endoscopy is one of the latest technologies in the medical imaging field for the diagnosis of …
Early diagnosis of oral squamous cell carcinoma based on histopathological images using deep and hybrid learning approaches
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 …
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
An infectious disease called tuberculosis (TB) exhibits pneumonia-like symptoms and traits.
One of the most important methods for identifying and diagnosing pneumonia and …
One of the most important methods for identifying and diagnosing pneumonia and …
Deep and hybrid learning of MRI diagnosis for early detection of the progression stages in Alzheimer's disease
I Abunadi - Connection Science, 2022 - Taylor & Francis
Alzheimer's, or so-called dementia, is one of the types of diseases that affects brain cells and
causes memory loss, difficulty in thinking, and forgetfulness. Thus far, there is no effective …
causes memory loss, difficulty in thinking, and forgetfulness. Thus far, there is no effective …
Hybrid techniques for diagnosis with WSIs for early detection of cervical cancer based on fusion features
Cervical cancer is a global health problem that threatens the lives of women. Liquid-based
cytology (LBC) is one of the most used techniques for diagnosing cervical cancer; converting …
cytology (LBC) is one of the most used techniques for diagnosing cervical cancer; converting …