Strong efforts have been undertaken to enhance the diagnosis and identification of diseases
that cause facial paralysis, such as Bell's palsy and stroke, because of their detrimental …

Facial palsy evaluation (FPE) aims to assess facial palsy severity of patients, which plays a
vital role in facial functional treatment and rehabilitation. The traditional manners of FPE are …

Automated solutions for medical diagnosis based on computer vision form an emerging field
of science aiming to enhance diagnosis and early disease detection. The detection and …

Nowadays, transformative technologies such as artificial intelligence, big data, and cloud
computing are significantly influencing and resha** the daily lives of individuals. Guided …

In this article, we propose a parallel hierarchy convolutional neural network (PHCNN)
combining a Long Short-Term Memory (LSTM) network structure to quantitatively assess the …

The current disease risk prediction model with many parameters is complex to run smoothly
on mobile terminals such as tablets and mobile phones in imaginative elderly care …

The application of computer vision (CV) in healthcare applications is familiar with the
wireless and communication technology. CV methods are incorporated in the healthcare for …

Face palsy has adverse effects on the appearance of a person and has negative social and
functional consequences on the patient. Deep learning methods can improve face palsy …

This paper focuses on the analysis of reactions captured by the face analysis system. The
experiment was conducted on a sample of 50 university students. Each student was shown …

The incapability to move the facial muscles is known as facial palsy, and it affects various
abilities of the patient, for example, performing facial expressions. Recently, automatic …