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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.
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Pep Pàmies
Chief Editor, Nature Biomedical Engineering, Nature Research
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Discrimination of the behavioural dynamics of visually impaired infants via deep learning - Nature Biomedical Engineering

The analysis of behavioural patterns from standardized video recordings of infants with varying degrees of visual impairment enables, via deep learning, classification of the infants by visual-impairment severity and by ophthalmological condition.
Go to the profile of Pep Pàmies
Pep Pàmies
Chief Editor, Nature Biomedical Engineering, Nature Research

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Go to the profile of Pep Pàmies
Pep Pàmies Author
almost 7 years ago

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

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Biotechnology
Life Sciences > Biological Sciences > Biotechnology

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