Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review
Brain diseases, including tumors and mental and neurological disorders, seriously threaten
the health and well-being of millions of people worldwide. Structural and functional …
the health and well-being of millions of people worldwide. Structural and functional …
Parkinson's disease diagnosis using neural networks: Survey and comprehensive evaluation
Parkinson's disease (PD) is a chronic neurodegenerative disease of that predominantly
affects the elderly in today's world. For the diagnosis of the early stages of PD, effective and …
affects the elderly in today's world. For the diagnosis of the early stages of PD, effective and …
A Novel Artificial-Intelligence-Based Approach for Classification of Parkinson's Disease Using Complex and Large Vocal Features
Parkinson's disease (PD) affects a large proportion of elderly people. Symptoms include
tremors, slow movement, rigid muscles, and trouble speaking. With the aging of the …
tremors, slow movement, rigid muscles, and trouble speaking. With the aging of the …
Predicting parkinson's disease progression: Evaluation of ensemble methods in machine learning
Parkinson's disease (PD) is a complex neurodegenerative disease. Accurate diagnosis of
this disease in the early stages is crucial for its initial treatment. This paper aims to present a …
this disease in the early stages is crucial for its initial treatment. This paper aims to present a …
The role of neural network for the detection of Parkinson's disease: a sco** review
Background: Parkinson's Disease (PD) is a chronic neurodegenerative disorder that has
been ranked second after Alzheimer's disease worldwide. Early diagnosis of PD is crucial to …
been ranked second after Alzheimer's disease worldwide. Early diagnosis of PD is crucial to …
Role of artificial intelligence techniques and neuroimaging modalities in detection of Parkinson's disease: a systematic review
Abstract Parkinson's disease (PD), a neurodegenerative disorder, is caused due to the lack
of dopamine neurotransmitters throughout the substantia nigra. Its diagnosis in the earlier …
of dopamine neurotransmitters throughout the substantia nigra. Its diagnosis in the earlier …
Parkinson's disease and photobiomodulation: Potential for treatment
B Bicknell, A Liebert, G Herkes - Journal of Personalized Medicine, 2024 - mdpi.com
Parkinson's disease is the second most common neurodegenerative disease and is
increasing in incidence. The combination of motor and non-motor symptoms makes this a …
increasing in incidence. The combination of motor and non-motor symptoms makes this a …
Machine learning for early Parkinson's disease identification within SWEDD group using clinical and DaTSCAN SPECT imaging features
Early Parkinson's Disease (PD) diagnosis is a critical challenge in the treatment process.
Meeting this challenge allows appropriate planning for patients. However, Scan Without …
Meeting this challenge allows appropriate planning for patients. However, Scan Without …
A computerized analysis with machine learning techniques for the diagnosis of Parkinson's disease: past studies and future perspectives
According to the World Health Organization (WHO), Parkinson's disease (PD) is a
neurodegenerative disease of the brain that causes motor symptoms including slower …
neurodegenerative disease of the brain that causes motor symptoms including slower …
[HTML][HTML] Automatic classification of ultrasound thyroids images using vision transformers and generative adversarial networks
Ultrasound has become the main imaging modality for the diagnosis of thyroid nodules.
However, opinions issued and decisions taken by doctors are always subjective and …
However, opinions issued and decisions taken by doctors are always subjective and …