AIMC Topic: Diagnostic Techniques, Ophthalmological
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Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration.
Acta ophthalmologica
Nov 26, 2019
PURPOSE: To validate the performance of a commercially available, CE-certified deep learning (DL) system, RetCAD v.1.3.0 (Thirona, Nijmegen, The Netherlands), for the joint automatic detection of diabetic retinopathy (DR) and age-related macular dege...
Ophthalmic diagnosis using deep learning with fundus images - A critical review.
Artificial intelligence in medicine
Nov 22, 2019
An overview of the applications of deep learning for ophthalmic diagnosis using retinal fundus images is presented. We describe various retinal image datasets that can be used for deep learning purposes. Applications of deep learning for segmentation...
Validation of a Deep Learning Algorithm for Diabetic Retinopathy.
Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Nov 4, 2019
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Multi-indices quantification of optic nerve head in fundus image via multitask collaborative learning.
Medical image analysis
Oct 31, 2019
Multi-indices quantification of optic nerve head (ONH), measuring ONH appearance with multiple types of indices simultaneously from fundus images, is the most clinically significant tasks for accurate ONH assessment and ophthalmic disease diagnosis. ...
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs.
Medical image analysis
Oct 8, 2019
Glaucoma is one of the leading causes of irreversible but preventable blindness in working age populations. Color fundus photography (CFP) is the most cost-effective imaging modality to screen for retinal disorders. However, its application to glauco...
Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps.
Ophthalmology
Sep 30, 2019
PURPOSE: To develop and evaluate a deep learning system for differentiating between eyes with and without glaucomatous visual field damage (GVFD) and predicting the severity of GFVD from spectral domain OCT (SD OCT) optic nerve head images.
Force classification during robotic interventions through simulation-trained neural networks.
International journal of computer assisted radiology and surgery
Aug 16, 2019
PURPOSE: Intravitreal injection is among the most frequent treatment strategies for chronic ophthalmic diseases. The last decade has seen a serious increase in the number of intravitreal injections, and with it, adverse effects and drawbacks. To tack...
Mechanical Phenomena
Machine Learning
Sclera
Computer Simulation
Robotic Surgical Procedures
Models, Theoretical
Reproducibility of Results
Intravitreal Injections
Tomography, Optical Coherence
Diagnostic Techniques, Ophthalmological
Humans
Bayes Theorem
Neural Networks, Computer
Animals
Swine
Image Processing, Computer-Assisted
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...
Relative Afferent Pupillary Defect Screening Through Transfer Learning.
IEEE journal of biomedical and health informatics
Aug 7, 2019
Abnormalities in pupillary light reflex can indicate optic nerve disorders that may lead to permanent visual loss if not diagnosed in an early stage. In this study, we focus on relative afferent pupillary defect (RAPD), which is based on the differen...
Automatic Cataract Classification Using Deep Neural Network With Discrete State Transition.
IEEE transactions on medical imaging
Jul 11, 2019
Cataract is the clouding of lens, which affects vision and it is the leading cause of blindness in the world's population. Accurate and convenient cataract detection and cataract severity evaluation will improve the situation. Automatic cataract dete...
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