Automatic Facial Palsy Detection—From Mathematical Modeling to Deep Learning
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 …
of science aiming to enhance diagnosis and early disease detection. The detection and …
DeepStroke: An efficient stroke screening framework for emergency rooms with multimodal adversarial deep learning
In an emergency room (ER) setting, stroke triage or screening is a common challenge. A
quick CT is usually done instead of MRI due to MRI's slow throughput and high cost. Clinical …
quick CT is usually done instead of MRI due to MRI's slow throughput and high cost. Clinical …
Video-based facial weakness analysis
Y Zhuang, MM McDonald, CM Aldridge… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Objective: Facial weakness is a common sign of neurological diseases such as Bell's palsy
and stroke. However, recognizing facial weakness still remains as a challenge, because it …
and stroke. However, recognizing facial weakness still remains as a challenge, because it …
Human vs. machine learning based detection of facial weakness using video analysis
CM Aldridge, MM McDonald, M Wruble… - Frontiers in …, 2022 - frontiersin.org
Background Current EMS stroke screening tools facilitate early detection and triage, but the
tools' accuracy and reliability are limited and highly variable. An automated stroke screening …
tools' accuracy and reliability are limited and highly variable. An automated stroke screening …
[HTML][HTML] Automatic grading of patients with a unilateral facial paralysis based on the sunnybrook facial grading system-A deep learning study based on a convolutional …
TC Ten Harkel, G de Jong, HAM Marres… - American Journal of …, 2023 - Elsevier
Purpose In order to assess the severity and the progression of a unilateral peripheral facial
palsy the Sunnybrook Facial Grading System (SFGS) is a well-established grading system …
palsy the Sunnybrook Facial Grading System (SFGS) is a well-established grading system …
Poster: A Pilot Study On Camera-based Neurological Deficit Detection
The BANDIT-Brain Attack Neurological Deficit Identification Tool-project aims at developing
an automatic tool to quantitatively assess stroke-related neurological deficits such as facial …
an automatic tool to quantitatively assess stroke-related neurological deficits such as facial …
[引用][C] Analisis Metode Klasifikasi Penyakit Bell's Palsy Menggunakan Machine Learning
AH RS, RA Permata - Empiricism Journal, 2024