AIMC Topic: Optic Disk
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A new and effective method for human retina optic disc segmentation with fuzzy clustering method based on active contour model.
Medical & biological engineering & computing
Aug 24, 2019
In this paper, a new approach is proposed for localization and segmentation of the optic disc in human retina images. This new approach can find the boundary of the optic disc by an initial fuzzy clustering means algorithm. The proposed approach uses...
Machine Learning Models for Diagnosing Glaucoma from Retinal Nerve Fiber Layer Thickness Maps.
Ophthalmology. Glaucoma
Aug 23, 2019
PURPOSE: To assess the diagnostic accuracy of multiple machine learning models using full retinal nerve fiber layer (RNFL) thickness maps in detecting glaucoma.
Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-Supervised Learning.
IEEE journal of biomedical and health informatics
Aug 12, 2019
Glaucoma is a chronic eye disease that leads to irreversible vision loss. The Cup-to-Disc Ratio (CDR) serves as the most important indicator for glaucoma screening and plays a significant role in clinical screening and early diagnosis of glaucoma. In...
Accuracy of machine learning for differentiation between optic neuropathies and pseudopapilledema.
BMC ophthalmology
Aug 9, 2019
BACKGROUND: This study is to evaluate the accuracy of machine learning for differentiation between optic neuropathies, pseudopapilledema (PPE) and normals.
Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning.
Acta ophthalmologica
Jul 25, 2019
PURPOSE: To assess the use of deep learning (DL) for computer-assisted glaucoma identification, and the impact of training using images selected by an active learning strategy, which minimizes labelling cost. Additionally, this study focuses on the e...
Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning.
BMC medical informatics and decision making
Jul 17, 2019
BACKGROUND: With the advancement of powerful image processing and machine learning techniques, Computer Aided Diagnosis has become ever more prevalent in all fields of medicine including ophthalmology. These methods continue to provide reliable and s...
Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study.
Eye (London, England)
Jul 2, 2019
OBJECTIVES: To evaluate the performance of a deep learning based Artificial Intelligence (AI) software for detection of glaucoma from stereoscopic optic disc photographs, and to compare this performance to the performance of a large cohort of ophthal...
Optic Disk
Optic Nerve Diseases
False Positive Reactions
Glaucoma, Open-Angle
Optometrists
Photography
Ophthalmologists
Europe
Predictive Value of Tests
Observer Variation
Deep Learning
Clinical Competence
ROC Curve
Humans
Artificial Intelligence
Sensitivity and Specificity
Diagnosis, Computer-Assisted
Retrospective Studies
Reproducibility of Results
A feature agnostic approach for glaucoma detection in OCT volumes.
PloS one
Jul 1, 2019
Optical coherence tomography (OCT) based measurements of retinal layer thickness, such as the retinal nerve fibre layer (RNFL) and the ganglion cell with inner plexiform layer (GCIPL) are commonly employed for the diagnosis and monitoring of glaucoma...
JointRCNN: A Region-Based Convolutional Neural Network for Optic Disc and Cup Segmentation.
IEEE transactions on bio-medical engineering
Apr 25, 2019
OBJECTIVE: The purpose of this paper is to propose a novel algorithm for joint optic disc and cup segmentation, which aids the glaucoma detection.
Robust optic disc and cup segmentation with deep learning for glaucoma detection.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Apr 5, 2019
Glaucoma is rated as the leading cause of irreversible vision loss worldwide. Early detection of glaucoma is important for providing timely treatment and minimizing the vision loss. In this paper, we developed a robust segmentation method for optic d...
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