Prevalence and diagnosis of neurological disorders using different deep learning techniques: a meta-analysis
R Gautam, M Sharma - Journal of medical systems, 2020 - Springer
This paper dispenses an exhaustive review on deep learning techniques used in the
prognosis of eight different neuropsychiatric and neurological disorders such as stroke …
prognosis of eight different neuropsychiatric and neurological disorders such as stroke …
Parkinson's disease recognition using SPECT image and interpretable AI: A tutorial
In the past few years, there are several researches on Parkinson's disease (PD) recognition
using single-photon emission computed tomography (SPECT) images with deep learning …
using single-photon emission computed tomography (SPECT) images with deep learning …
Deep Neural Network for Parkinson Disease Prediction Using SPECT Image
Parkinson's disease (PD) affects the dopaminergic (dopamine-producing) neurons in a
particular part of the brain called substantia nigra and causes neuron affected disorder …
particular part of the brain called substantia nigra and causes neuron affected disorder …
A Deep Learning Approach for Identifying Key Biomarkers in Medical Imaging Applications
D Odaibo - 2019 - search.proquest.com
ABSTRACT Although Deep Leaning has achieved great success in many domains in recent
years, research into its applicability and effectiveness in medical applications has been …
years, research into its applicability and effectiveness in medical applications has been …