Automatic diagnosis of strabismus in digital videos through cover test

2017 ◽  
Vol 140 ◽  
pp. 295-305 ◽  
Author(s):  
Thales Levi Azevedo Valente ◽  
João Dallyson Sousa de Almeida ◽  
Aristófanes Corrêa Silva ◽  
Jorge Antonio Meireles Teixeira ◽  
Marcelo Gattass
Keyword(s):  
Digital Videos ◽  
Automatic Diagnosis ◽  
Cover Test

scholarly journals Intelligent Evaluation of Strabismus in Videos Based on an Automated Cover Test

2019 ◽  
Vol 9 (4) ◽  
pp. 731 ◽  
Author(s):  
Yang Zheng ◽  
Hong Fu ◽  
Ruimin Li ◽  
Wai-Lun Lo ◽  
Zheru Chi ◽  
...  
Keyword(s):  
Evaluation System ◽  
Life Quality ◽  
Vertical Direction ◽  
Infrared Camera ◽  
Normal Subjects ◽  
Digital Videos ◽  
Region Extraction ◽  
Pupil Localization ◽  
Common Vision ◽  
Cover Test

Strabismus is a common vision disease that brings about unpleasant influence on vision, as well as life quality. A timely diagnosis is crucial for the proper treatment of strabismus. In contrast to manual evaluation, well-designed automatic evaluation can significantly improve the objectivity, reliability, and efficiency of strabismus diagnosis. In this study, we have proposed an innovative intelligent evaluation system of strabismus in digital videos, based on the cover test. In particular, the video is recorded using an infrared camera, while the subject performs automated cover tests. The video is then fed into the proposed algorithm that consists of six stages: (1) eye region extraction, (2) iris boundary detection, (3) key frame detection, (4) pupil localization, (5) deviation calculation, and (6) evaluation of strabismus. A database containing cover test data of both strabismic subjects and normal subjects was established for experiments. Experimental results demonstrate that the deviation of strabismus can be well-evaluated by our proposed method. The accuracy was over 91%, in the horizontal direction, with an error of 8 diopters; and it was over 86% in the vertical direction, with an error of 4 diopters.

Visual Effects of Deep Brain Stimulation in a Patient with Parkinson’s Disease

2019 ◽  
pp. 158-173
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Deep Brain Stimulation ◽  
Visual System ◽  
Brain Stimulation ◽  
Neurodegenerative Disorder ◽  
Initial Examination ◽  
Before And After ◽  
Deep Brain ◽  
Cover Test

Background: Parkinson’s disease (PD) is a progressive neurodegenerative disorder caused by a dopamine deficiency that presents with motor symptoms. Visual disorders can occur concomitantly but are frequently overlooked. Deep brain stimulation (DBS) has been an effective treatment to improve tremors, stiffness and overall mobility, but little is known about its effects on the visual system. Case Report: A 75-year-old Caucasian male with PD presented with longstanding binocular diplopia. On baseline examination, the best-corrected visual acuity was 20/25 in each eye. On observation, he had noticeable tremors with an unsteady gait. Distance alternating cover test showed exophoria with a right hyperphoria. Near alternating cover test revealed a significantly larger exophoria accompanied by a reduced near point of convergence. Additional testing with a 24-2 Humphrey visual field and optical coherence tomography (OCT) of the nerve and macula were unremarkable. The patient underwent DBS implantation five weeks after initial examination, and the device was activated four weeks thereafter. At follow up, the patient still complained of intermittent diplopia. There was no significant change in the manifest refraction or prism correction. On observation, the patient had remarkably improved tremors with a steady gait. All parameters measured were unchanged. The patient was evaluated again seven months after device activation. Although vergence ranges at all distances were improved, the patient was still symptomatic for intermittent diplopia. OCT scans of the optic nerve showed borderline but symmetric thinning in each eye. All other parameters measured were unchanged. Conclusion: The case found no significant changes on ophthalmic examination after DBS implantation and activation in a patient with PD. To the best of the authors’ knowledge, there are no other cases in the literature that investigated the effects of DBS on the visual system pathway in a patient with PD before and after DBS implantation and activation.

Multi-modality fusion learning for the automatic diagnosis of optic neuropathy

2021 ◽  
Vol 142 ◽  
pp. 58-64
Author(s):  
Zheng Cao ◽  
Chuanbin Sun ◽  
Wenzhe Wang ◽  
Xiangshang Zheng ◽  
Jian Wu ◽  
...  
Keyword(s):  
Optic Neuropathy ◽  
Automatic Diagnosis

scholarly journals Deep convolutional neural networks for COVID‐19 automatic diagnosis

2021 ◽  
Author(s):  
Heba M. Emara ◽  
Mohamed R. Shoaib ◽  
Mohamed Elwekeil ◽  
Walid El‐Shafai ◽  
Taha E. Taha ◽  
...  
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Deep Convolutional Neural Networks ◽  
Automatic Diagnosis
Sign in / Sign up

Export Citation Format

Share Document