Prehospital stroke care part 2: on-scene evaluation and management by emergency medical services practitioners
The prehospital phase is a critical component of delivering high-quality acute stroke care.
This topical review discusses the current state of prehospital acute stroke screening and …
This topical review discusses the current state of prehospital acute stroke screening and …
[HTML][HTML] Deep learning-driven diagnosis: A multi-task approach for segmenting stroke and Bell's palsy
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 …
that cause facial paralysis, such as Bell's palsy and stroke, because of their detrimental …
Artificial intelligence-based facial palsy evaluation: a survey
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 …
vital role in facial functional treatment and rehabilitation. The traditional manners of FPE are …
Facial paralysis detection on images using key point analysis
The inability to move the muscles of the face on one or both sides is known as facial
paralysis, which may affect the ability of the patient to speak, blink, swallow saliva, eat, or …
paralysis, which may affect the ability of the patient to speak, blink, swallow saliva, eat, or …
A ready-to-use grading tool for facial palsy examiners—Automated grading system in facial palsy patients made easy
Background: The grading process in facial palsy (FP) patients is crucial for time-and cost-
effective therapy decision-making. The House-Brackmann scale (HBS) represents the most …
effective therapy decision-making. The House-Brackmann scale (HBS) represents the most …
Facial expression recognition based on convolutional block attention module and multi-feature fusion
M Jiang, S Yin - International journal of computational …, 2023 - inderscienceonline.com
In this paper, we focus on the research of facial expression recognition. A novel
convolutional block attention module and multi-feature fusion method are proposed for facial …
convolutional block attention module and multi-feature fusion method are proposed for facial …
Few-shot learning with a novel voronoi tessellation-based image augmentation method for facial palsy detection
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 …
functional consequences on the patient. Deep learning methods can improve face palsy …
Automatic facial palsy diagnosis as a classification problem using regional information extracted from a photograph
GS Parra-Dominguez, CH Garcia-Capulin… - Diagnostics, 2022 - mdpi.com
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 …
abilities of the patient, for example, performing facial expressions. Recently, automatic …
A transfer learning approach for facial paralysis severity detection
Facial paralysis is a debilitating condition that weakens or damages facial muscles resulting
in asymmetric or abnormal facial movements. To aid in the diagnosis and rehabilitation of …
in asymmetric or abnormal facial movements. To aid in the diagnosis and rehabilitation of …
Automatic facial palsy, age and gender detection using a raspberry pi
Facial palsy (FP) is a neurological disorder that affects the facial nerve, specifically the
seventh nerve, resulting in the patient losing control of the facial muscles on one side of the …
seventh nerve, resulting in the patient losing control of the facial muscles on one side of the …