AIMC Topic: Optic Disk

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Machine learning prediction of pathologic myopia using tomographic elevation of the posterior sclera.

Scientific reports Mar 26, 2021
Qualitative analysis of fundus photographs enables straightforward pattern recognition of advanced pathologic myopia. However, it has limitations in defining the classification of the degree or extent of early disease, such that it may be biased by s...
Male Middle Aged Support Vector Machine Biomarkers Retrospective Studies Female Humans Fovea Centralis Sclera Axial Length, Eye Myopia, Degenerative Tomography, Optical Coherence Fundus Oculi Optic Disk
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Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation.

IEEE transactions on neural networks and learning systems Feb 4, 2021
A common shortfall of supervised deep learning for medical imaging is the lack of labeled data, which is often expensive and time consuming to collect. This article presents a new semisupervised method for medical image segmentation, where the networ...
Algorithms Databases, Factual Tomography, X-Ray Computed Humans Neural Networks, Computer Glaucoma Fundus Oculi Supervised Machine Learning Skin Diseases Dermatology Optic Disk Image Processing, Computer-Assisted Liver Diagnostic Imaging Reproducibility of Results Deep Learning Imaging, Three-Dimensional
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Joint optic disc and cup segmentation based on densely connected depthwise separable convolution deep network.

BMC medical imaging Jan 28, 2021
BACKGROUND: Glaucoma is an eye disease that causes vision loss and even blindness. The cup to disc ratio (CDR) is an important indicator for glaucoma screening and diagnosis. Accurate segmentation for the optic disc and cup helps obtain CDR. Although...
Image Processing, Computer-Assisted Optic Disk Diagnostic Techniques, Ophthalmological Humans Glaucoma Deep Learning
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Pathological myopia classification with simultaneous lesion segmentation using deep learning.

Computer methods and programs in biomedicine Dec 28, 2020
BACKGROUND AND OBJECTIVES: Pathological myopia (PM) is the seventh leading cause of blindness, with a reported global prevalence up to 3%. Early and automated PM detection from fundus images could aid to prevent blindness in a world population that i...
Humans Glaucoma Deep Learning Fundus Oculi Optic Disk Myopia, Degenerative
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Estimating visual field loss from monoscopic optic disc photography using deep learning model.

Scientific reports Dec 3, 2020
Visual field assessment is recognized as the important criterion of glaucomatous damage judgement; however, it can show large test-retest variability. We developed a deep learning (DL) algorithm that quantitatively predicts mean deviation (MD) of sta...
Deep Learning ROC Curve Models, Biological Optic Disk Visual Fields Photography Humans Algorithms Female Male Middle Aged
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Computer-aided recognition of myopic tilted optic disc using deep learning algorithms in fundus photography.

BMC ophthalmology Oct 9, 2020
BACKGROUND: It is necessary to consider myopic optic disc tilt as it seriously impacts normal ocular parameters. However, ophthalmologic measurements are within inter-observer variability and time-consuming to get. This study aimed to develop and eva...
Computers Deep Learning Optic Disk Humans Algorithms Photography
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Deep-learning-based enhanced optic-disc photography.

PloS one Oct 1, 2020
Optic-disc photography (ODP) has proven to be very useful for optic nerve evaluation in glaucoma. In real clinical practice, however, limited patient cooperation, small pupils, or media opacities can limit the performance of ODP. The purpose of this ...
Image Processing, Computer-Assisted Humans Photography Glaucoma Limit of Detection Deep Learning Optic Disk
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Deep learning for automated glaucomatous optic neuropathy detection from ultra-widefield fundus images.

The British journal of ophthalmology Sep 16, 2020
BACKGROUND/AIMS: To develop a deep learning system for automated glaucomatous optic neuropathy (GON) detection using ultra-widefield fundus (UWF) images.
Humans Glaucoma Deep Learning ROC Curve Fundus Oculi Optic Disk Optic Nerve Diseases
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Optic Disc Classification by Deep Learning versus Expert Neuro-Ophthalmologists.

Annals of neurology Aug 7, 2020
OBJECTIVE: To compare the diagnostic performance of an artificial intelligence deep learning system with that of expert neuro-ophthalmologists in classifying optic disc appearance.
Optic Disk Diagnostic Techniques, Ophthalmological Adult Ophthalmologists Sensitivity and Specificity Male Middle Aged Humans Deep Learning Female Image Interpretation, Computer-Assisted Aged
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Explaining the Rationale of Deep Learning Glaucoma Decisions with Adversarial Examples.

Ophthalmology Jun 26, 2020
PURPOSE: To illustrate what is inside the so-called black box of deep learning models (DLMs) so that clinicians can have greater confidence in the conclusions of artificial intelligence by evaluating adversarial explanation on its ability to explain ...
ROC Curve Decision Making Optic Disk Male Middle Aged Deep Learning Humans Glaucoma Artificial Intelligence Machine Learning Female
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