Application of deep learning models for automated identification of Parkinson's disease: A review (2011–2021)
Parkinson's disease (PD) is the second most common neurodegenerative disorder affecting
over 6 million people globally. Although there are symptomatic treatments that can increase …
over 6 million people globally. Although there are symptomatic treatments that can increase …
Automated methods for diagnosis of Parkinson's disease and predicting severity level
The recent advancements in information technology and bioinformatics have led to
exceptional contributions in medical sciences. Extensive developments have been recorded …
exceptional contributions in medical sciences. Extensive developments have been recorded …
Early detection of diabetic retinopathy using PCA-firefly based deep learning model
Diabetic Retinopathy is a major cause of vision loss and blindness affecting millions of
people across the globe. Although there are established screening methods-fluorescein …
people across the globe. Although there are established screening methods-fluorescein …
exbake: Automatic fake news detection model based on bidirectional encoder representations from transformers (bert)
News currently spreads rapidly through the internet. Because fake news stories are
designed to attract readers, they tend to spread faster. For most readers, detecting fake news …
designed to attract readers, they tend to spread faster. For most readers, detecting fake news …
Handwriting biometrics: Applications and future trends in e-security and e-health
Online handwritten analysis presents many applications in e-security, signature biometrics
being the most popular but not the only one. Handwriting analysis also has an important set …
being the most popular but not the only one. Handwriting analysis also has an important set …
Sequence-based dynamic handwriting analysis for Parkinson's disease detection with one-dimensional convolutions and BiGRUs
Parkinson's disease (PD) is commonly characterized by several motor symptoms, such as
bradykinesia, akinesia, rigidity, and tremor. The analysis of patients' fine motor control …
bradykinesia, akinesia, rigidity, and tremor. The analysis of patients' fine motor control …
[HTML][HTML] SVC-onGoing: Signature verification competition
This article presents SVC-onGoing 1, an on-going competition for on-line signature
verification where researchers can easily benchmark their systems against the state of the …
verification where researchers can easily benchmark their systems against the state of the …
Diagnosis and classification of Parkinson's disease using ensemble learning and 1D-PDCovNN
In this paper, we proposed a novel approach to diagnose and classify Parkinson's Disease
(PD) using ensemble learning and 1D-PDCovNN, a novel deep learning technique. PD is a …
(PD) using ensemble learning and 1D-PDCovNN, a novel deep learning technique. PD is a …
Dynamic handwriting analysis for neurodegenerative disease assessment: a literary review
G Vessio - Applied Sciences, 2019 - mdpi.com
Studying the effects of neurodegeneration on handwriting has emerged as an
interdisciplinary research topic and has attracted considerable interest from psychologists to …
interdisciplinary research topic and has attracted considerable interest from psychologists to …
Image-based Parkinson disease detection using deep transfer learning and optimization algorithm
S Agrawal, SP Sahu - International Journal of Information Technology, 2024 - Springer
Parkinson's disease (PD) is typically a neurodegenerative disorder that slowly affects the
brain, causes muscle stiffness, limb tremor and impaired balance that tends to get worsen …
brain, causes muscle stiffness, limb tremor and impaired balance that tends to get worsen …