AIMC Topic: Myopia
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Automatic Segmentation and Measurement of Choroid Layer in High Myopia for OCT Imaging Using Deep Learning.
Journal of digital imaging
May 17, 2022
Automatic segmentation and measurement of the choroid layer is useful in studying of related fundus diseases, such as diabetic retinopathy and high myopia. However, most algorithms are not helpful for choroid layer segmentation due to its blurred bou...
Validation of Soft Labels in Developing Deep Learning Algorithms for Detecting Lesions of Myopic Maculopathy From Optical Coherence Tomographic Images.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
May 1, 2022
PURPOSE: It is common for physicians to be uncertain when examining some images. Models trained with human uncertainty could be a help for physicians in diagnosing pathologic myopia.
Automatic Segment and Quantify Choroid Layer in Myopic eyes: Deep Learning based Model.
Seminars in ophthalmology
Feb 9, 2022
PURPOSE: To report a rapid and accurate method based upon deep learning for automatic segmentation and measurement of the choroidal thickness (CT) in myopic eyes, and to determine the relationship between refractive error (RE) and CT.
Deep learning for predicting uncorrected refractive error using posterior segment optical coherence tomography images.
Eye (London, England)
Oct 5, 2021
BACKGROUND/OBJECTIVES: This study aimed to evaluate a deep learning model for estimating uncorrected refractive error using posterior segment optical coherence tomography (OCT) images.
Generalisability through local validation: overcoming barriers due to data disparity in healthcare.
BMC ophthalmology
May 21, 2021
Cho et al. report deep learning model accuracy for tilted myopic disc detection in a South Korean population. Here we explore the importance of generalisability of machine learning (ML) in healthcare, and we emphasise that recurrent underrepresentati...
Artificial intelligence-based nomogram for small-incision lenticule extraction.
Biomedical engineering online
Apr 23, 2021
BACKGROUND: Small-incision lenticule extraction (SMILE) is a surgical procedure for the refractive correction of myopia and astigmatism, which has been reported as safe and effective. However, over- and under-correction still occur after SMILE. The n...
A method for the automatic detection of myopia in Optos fundus images based on deep learning.
International journal for numerical methods in biomedical engineering
Apr 18, 2021
Myopia detection is significant for preventing irreversible visual impairment and diagnosing myopic retinopathy. To improve the detection efficiency and accuracy, a Myopia Detection Network (MDNet) that combines the advantages of dense connection and...
Is artificial intelligence a solution to the myopia pandemic?
The British journal of ophthalmology
Mar 12, 2021
Prediction of Phakic Intraocular Lens Vault Using Machine Learning of Anterior Segment Optical Coherence Tomography Metrics.
American journal of ophthalmology
Feb 9, 2021
PURPOSE: To compare the achieved vault using the conventional manufacturer's nomogram and the predicted vault using machine learning, in a large cohort of eyes undergoing posterior chamber phakic intraocular lens (EVO implantable collamer lens [ICL];...
Development and validation of a deep learning system to screen vision-threatening conditions in high myopia using optical coherence tomography images.
The British journal of ophthalmology
Dec 21, 2020
BACKGROUND/AIMS: To apply deep learning technology to develop an artificial intelligence (AI) system that can identify vision-threatening conditions in high myopia patients based on optical coherence tomography (OCT) macular images.
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