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References from Image-Based Differentiation of Bacterial and Fungal Keratitis Using Deep Convolutional Neural Networks. Local targets link to admitted publications; unresolved targets remain external evidence.
Global causes of blindness and distance vision impairment 1990–2020: a systematic review and meta-analysis
10.1016/s2214-109x(17)30393-5 · 2017 · External reference
Corneal blindness: a global perspective
2001 · External reference
Global estimates of visual impairment: 2010
10.1136/bjophthalmol-2011-300539 · 2012 · External reference
Trends in the etiology of infectious corneal ulcers at the F. I. Proctor Foundation
10.1097/00003226-200405000-00009 · 2004 · External reference
Epidemiology and aetiological diagnosis of corneal ulceration in Madurai, south India
10.1136/bjo.81.11.965 · 1997 · External reference
Microbial keratitis in South India: influence of risk factors, climate, and geographical variation
10.1080/09286580601001347 · 2007 · External reference
The role of smears, cultures, and antibiotic sensitivity testing in the management of suspected infectious keratitis
10.1016/s0161-6420(96)30738-0 · 1996 · External reference
The clinical differentiation of bacterial and fungal keratitis: a photographic survey
10.1167/iovs.11-8478 · 2012 · External reference
The clinical diagnosis of microbial keratitis
10.1016/j.ajo.2007.02.030 · 2007 · External reference
Expert performance in visual differentiation of bacterial and fungal keratitis
10.1016/j.ophtha.2021.09.019 · 2022 · External reference
Deep learning
10.1038/nature14539 · 2015 · External reference
A survey on transfer learning
10.1109/tkde.2009.191 · 2010 · External reference
Detecting preperimetric glaucoma with standard automated perimetry using a deep learning classifier
10.1016/j.ophtha.2016.05.029 · 2016 · External reference
Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
10.1001/jama.2016.17216 · 2016 · External reference
Deep learning is effective for classifying normal versus age-related macular degeneration OCT images
10.1016/j.oret.2016.12.009 · 2017 · External reference
Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks
10.1001/jamaophthalmol.2018.1934 · 2018 · External reference
A deep learning approach in diagnosing fungal keratitis based on corneal photographs
10.1038/s41598-020-71425-9 · 2020 · External reference
10.1097/ico.0000000000002830
10.1097/ico.0000000000002830 · External reference
Using slit-lamp images for deep learning-based identification of bacterial and fungal keratitis: model development and validation with different convolutional neural networks
10.3390/diagnostics11071246 · 2021 · External reference
A deep transfer learning framework for the automated assessment of corneal inflammation on in vivo confocal microscopy images
10.1371/journal.pone.0252653 · 2021 · External reference
Corticosteroids for bacterial keratitis: the Steroids for Corneal Ulcers Trial (SCUT)
10.1001/archophthalmol.2011.315 · 2012 · External reference
Effect of oral voriconazole on fungal keratitis in the Mycotic Ulcer Treatment Trial II (MUTT II): a randomized clinical trial
10.1001/jamaophthalmol.2016.4096 · 2016 · External reference
The Mycotic Ulcer Treatment Trial
10.1001/jamaophthalmol.2013.1497 · 2013 · External reference
Leakage in data mining
10.1145/2382577.2382579 · 2012 · External reference
A survey on image data augmentation for deep learning
2019 · External reference
MobileNetV2: inverted residuals and linear bottlenecks
2018 · External reference
Unresolved reference
2017 · External reference
Deep residual learning for image recognition. 2016
2016 · External reference
Unresolved reference
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10.1109/cvpr.2017.195
10.1109/cvpr.2017.195 · External reference
Unresolved reference
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Unresolved reference
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pROC: an open-source package for R and S+ to analyze and compare ROC curves
10.1186/1471-2105-12-77 · 2011 · External reference
Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach
10.2307/2531595 · 1988 · External reference
Index for rating diagnostic tests
10.1002/1097-0142(1950)3:1<32::aid-cncr2820030106>3.0.co;2-3 · 1950 · External reference
Grad-CAM: visual explanations from deep networks via gradient-based localization
10.1007/s11263-019-01228-7 · 2016 · External reference
Deep sequential feature learning in clinical image classification of infectious keratitis
10.1016/j.eng.2020.04.012 · 2021 · External reference
Characteristic clinical features as an aid to the diagnosis of suppurative keratitis caused by filamentous fungi
10.1136/bjo.2005.076315 · 2005 · External reference
Distinguishing fungal and bacterial keratitis on clinical signs
2015 · External reference
Fungal keratitis
10.1097/00055735-200408000-00008 · 2004 · External reference
Neural network approach to classify infective keratitis
10.1076/ceyr.27.2.111.15949 · 2003 · External reference
Epidemiology of ulcerative keratitis in Northern California
10.1001/archophthalmol.2010.144 · 2010 · External reference
Infectious corneal ulceration: a proposal for neglected tropical disease status
10.2471/blt.19.232660 · 2019 · External reference
Secure, privacy-preserving and federated machine learning in medical imaging
10.1038/s42256-020-0186-1 · 2020 · External reference
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