Strabismus Classification using Convolutional Neural Networks
| Autor: | Guohua Zhu, Donghwan Kim, Jeongbin Seo, Suk Kim, Jaeseung Ha, Jaehan Joo |
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| Rok vydání: | 2021 |
| Předmět: |
genetic structures
Blindness business.industry Computer science digestive oral and skin physiology Feature extraction Pattern recognition medicine.disease Convolutional neural network eye diseases Data modeling medicine sense organs Artificial intelligence Data pre-processing business Strabismus Exotropia Esotropia |
| Zdroj: | ICAIIC |
| Popis: | Early diagnosis and treatment of amblyopia, including strabismus, is important to prevent permanent blindness in infants and toddlers. In this paper, we design an convolutional neural networks that classifies exotropia, esotropia, and normal eyes. Designed model uses the front view of 9-photo as input data, and evaluates its performance using prediction accuracy according to the number of training epochs. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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