Application of deep learning and image processing analysis of photographs for amblyopia screening.

Journal: Indian journal of ophthalmology

Published Date: Jul 1, 2020

Abstract

PURPOSE: Photo screeners and autorefractors have been used to screen children for amblyopia risk factors (ARF) but are limited by cost and efficacy. We looked for a deep learning and image processing analysis-based system to screen for ARF.

Authors

Kaushik Murali

Sankara Academy of Vision, Sankara Eye Hospital, Bengaluru, Karnataka, India.
Viswesh Krishna

National Public School Indiranagar, Bengaluru, Karnataka, India.
Vrishab Krishna

National Public School Indiranagar, Bengaluru, Karnataka, India.
B Kumari

Sankara Academy of Vision, Sankara Eye Hospital, Bengaluru, Karnataka, India.

Keywords

Algorithms Amblyopia Child Deep Learning Humans Image Processing, Computer-Assisted Mass Screening Young Adult

External Resources

View on PubMed Access via DOI PubMed (32587177)

Application of deep learning and image processing analysis of photographs for amblyopia screening.

Abstract

Authors

Keywords

External Resources

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