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Eyelids

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Design of Soft Robotic Actuation for Supporting Eyelid Closure Movement.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
We have been developing a facial wearable robot to support the eyelid movements of patients with facial paralysis, especially on one side of the face [1]. This robot has a mechanism for supporting eyelid movements, made from a soft material, which is...

Sensitivity and specificity of computer vision classification of eyelid photographs for programmatic trachoma assessment.

PloS one
BACKGROUND/AIMS: Trachoma programs base treatment decisions on the community prevalence of the clinical signs of trachoma, assessed by direct examination of the conjunctiva. Automated assessment could be more standardized and more cost-effective. We ...

Eyelid Movement Command Classification Using Machine Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The Eyelid Drive System (EDS) is an assistive technology device intended to allow users to wirelessly control other devices, such as power wheelchairs and personal computers, using commands consisting only of blinking and winking. In this paper, four...

Automated identification of malignancy in whole-slide pathological images: identification of eyelid malignant melanoma in gigapixel pathological slides using deep learning.

The British journal of ophthalmology
BACKGROUND/AIMS: To develop a deep learning system (DLS) that can automatically detect malignant melanoma (MM) in the eyelid from histopathological sections with colossal information density.

PeriorbitAI: Artificial Intelligence Automation of Eyelid and Periorbital Measurements.

American journal of ophthalmology
PURPOSE: To develop a deep learning semantic segmentation network to automate the assessment of 8 periorbital measurements DESIGN: Development and validation of an artificial intelligence (AI) segmentation algorithm METHODS: A total of 418 photograph...

A Novel Automatic Morphologic Analysis of Eyelids Based on Deep Learning Methods.

Current eye research
: To propose a deep-learning-based approach to automatically and objectively evaluate morphologic eyelid features using two-dimensional(2D) digital photographs and to assess the agreement between automatic and manual measurements.: The 2D photographs...

Deep learning-based image analysis for automated measurement of eyelid morphology before and after blepharoptosis surgery.

Annals of medicine
BACKGROUND AND AIM: Eyelid position and contour abnormality could lead to various diseases, such as blepharoptosis, which is a common eyelid disease. Accurate assessment of eyelid morphology is important in the management of blepharoptosis. We aimed ...