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Automatic Classification of Heterogeneous Slit-Illumination Images Using an Ensemble of Cost-Sensitive Convolutional Neural Networks

2020-09-15

Abstract excerpt

<h4>Background: </h4> Lens opacity seriously affects the visual development of infants. Slit-illumination images play an irreplaceable role in lens opacity detection; however, these images exhibited varied phenotypes with severe heterogeneity and complexity, particularly among pediatric cataracts. Therefore, it is urgently needed to explore an effective computer-aided method to automatically diagnose heterogeneous...

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Literature Corpus work
ac229c30-e607-5f49-b999-2da856c8be2a
DOI
10.21203/rs.3.rs-72323/v1
Open publication

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