Related references
Note: Only part of the references are listed.Detecting and interpreting myocardial infarction using fully convolutional neural networks
Nils Strodthoff et al.
PHYSIOLOGICAL MEASUREMENT (2019)
Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Zhixi Li et al.
OPHTHALMOLOGY (2018)
Natural Language-based Machine Learning Models for the Annotation of Clinical Radiology Reports
John Zech et al.
RADIOLOGY (2018)
Dermatologist-level classification of skin cancer with deep neural networks
Andre Esteva et al.
NATURE (2017)
Update on the Management of Infectious Keratitis
Ariana Austin et al.
OPHTHALMOLOGY (2017)
Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks
Philippe M. Burlina et al.
JAMA OPHTHALMOLOGY (2017)
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
Varun Gulshan et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2016)
The Mycotic Ulcer Treatment Trial A Randomized Trial Comparing Natamycin vs Voriconazole
N. Venkatesh Prajna et al.
JAMA OPHTHALMOLOGY (2013)
Corticosteroids for Bacterial Keratitis The Steroids for Corneal Ulcers Trial (SCUT)
Muthiah Srinivasan et al.
ARCHIVES OF OPHTHALMOLOGY (2012)
Seasonal Trends of Microbial Keratitis in South India
Charles C. Lin et al.
CORNEA (2012)
Epidemiology of Ulcerative Keratitis in Northern California
Bennie H. Jeng et al.
ARCHIVES OF OPHTHALMOLOGY (2010)