Deep learning of recorded behaviour discriminates visual losses in infants
The analysis of behavioural patterns from standardized video recordings of infants with varying degrees of visual impairment allows, via deep learning, to discriminate the infants by visual-impairment severity and by ophthalmological condition.
Published in Bioengineering & Biotechnology
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Chief Editor, Nature Biomedical Engineering, Nature Research
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Nature Biomedical Engineering
This journal aspires to become the most prominent publishing venue in biomedical engineering by bringing together the most important advances in the discipline, enhancing their visibility, and providing overviews of the state of the art in each field.
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The cover illustrates the deep-learning-based classification of infants by ophthalmic condition via a deep-learning algorithm trained on standardized video recordings of the behaviour of infants with varying degrees of visual impairment.
See Long et al.
Image: Haotian Lin and Yifan Xiang, Zhongshan Ophthalmic Center, Sun Yat-sen University. Cover design: Alex Wing