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 …

According to the World Health Organization (WHO), Parkinson's disease (PD) is a
neurodegenerative disease of the brain that causes motor symptoms including slower …

In this study, the successful network architecture we developed from scratch to diagnose
COVID-19 has been retrained, using single photon emission computed tomography …

Parkinson's disease (PD) is a neurodegenerative disorder affecting people worldwide. The
PD symptoms are divided into motor and non-motor symptoms. Detection of PD is very …

Parkinson's disease (PD) is challenging for clinicians to accurately diagnose in the early
stages. Quantitative measures of brain health can be obtained safely and non-invasively …

Convolutional Neural Networks (CNNs) are highly regarded in Deep Learning (DL) and
have shown promising results in medical image analysis, making them a leading model for …

This paper proposes ensemble strategies for the deep learning object detection models
carried out by combining the variants of a model and different models to enhance the …

Parkinson's is a dreadful neurodegenerative disorder disease which affects people over the
age of 40 around the world. To reduce the risk factors of Parkinson's, early diagnosis is …

Background: Current research on the prediction of movement complications associated with
levodopa therapy in Parkinson's disease (PD) is limited. levodopa-induced dyskinesia (LID) …

Parkinson disease (PD) is a degenerative disorder of neurological disorders that affects
movements, balance problems and more. Early prediction of PD means enhancing the …