2019
DOI: 10.1101/823260
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Towards implementation of AI in New Zealand national screening program: Cloud-based, Robust, and Bespoke

Abstract: 25Convolutional Neural Networks (CNN)s have become a prominent method of AI 26 implementation in medical classification tasks. Grading Diabetic Retinopathy (DR) has been 27 at the forefront of the development of AI for ophthalmology. However, major obstacles remain 28 in the generalization of these CNN's onto real-world DR screening programs. We believe these 29 difficulties are due to use of 1) small training datasets (<5,000 images), 2) private and 'curated' 30 repositories, 3) offline CNN implementation met… Show more

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“…To address any class imbalance issue of our dataset, the weighted loss function strategy was adopted 12,13 . An initial 5000 images, 500 images from each of the five DR severity categories (according to NZ grading standards 14 ) and 500 images from each of the five maculopathy severity categories, were randomly selected for AI training.…”
Section: Methodsmentioning
confidence: 99%
“…To address any class imbalance issue of our dataset, the weighted loss function strategy was adopted 12,13 . An initial 5000 images, 500 images from each of the five DR severity categories (according to NZ grading standards 14 ) and 500 images from each of the five maculopathy severity categories, were randomly selected for AI training.…”
Section: Methodsmentioning
confidence: 99%