AIMC Topic: Retinoscopy

Clear Filters Showing 1 to 4 of 4 articles

Identification of ocular refraction based on deep learning algorithm as a novel retinoscopy method.

Biomedical engineering online Dec 17, 2022
BACKGROUND: The evaluation of refraction is indispensable in ophthalmic clinics, generally requiring a refractor or retinoscopy under cycloplegia. Retinal fundus photographs (RFPs) supply a wealth of information related to the human eye and might pro...
Humans Algorithms Retrospective Studies Refraction, Ocular Deep Learning Retinoscopy Mydriatics
View on PubMed DOI

SERR-U-Net: Squeeze-and-Excitation Residual and Recurrent Block-Based U-Net for Automatic Vessel Segmentation in Retinal Image.

Computational and mathematical methods in medicine Aug 9, 2021
METHODS: A new SERR-U-Net framework for retinal vessel segmentation is proposed, which leverages technologies including Squeeze-and-Excitation (SE), residual module, and recurrent block. First, the convolution layers of encoder and decoder are modifi...
Humans Neural Networks, Computer Algorithms Databases, Factual Deep Learning Computational Biology Image Interpretation, Computer-Assisted Retinal Vessels Retinoscopy
View on PubMed DOI

Detecting central fixation by means of artificial neural networks in a pediatric vision screener using retinal birefringence scanning.

Biomedical engineering online Apr 27, 2017
BACKGROUND: Reliable detection of central fixation and eye alignment is essential in the diagnosis of amblyopia ("lazy eye"), which can lead to blindness. Our lab has developed and reported earlier a pediatric vision screener that performs scanning o...
Humans Neural Networks, Computer Reproducibility of Results Young Adult Adult Sensitivity and Specificity Male Diagnosis, Computer-Assisted Adolescent Child, Preschool Child Refractometry Fixation, Ocular Retinoscopy Amblyopia Birefringence Vision Screening
View on PubMed DOI

Retinal vessel segmentation using multi-scale textons derived from keypoints.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 22, 2015
This paper presents a retinal vessel segmentation algorithm which uses a texton dictionary to classify vessel/non-vessel pixels. However, in contrast to previous work where filter parameters are learnt from manually labelled image pixels our filter p...
Humans Neural Networks, Computer Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Anatomic Landmarks Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Subtraction Technique Retinal Vessels Retinoscopy
View on PubMed DOI
Popular Topics
Recent Journals