Automatic eye localization for hospitalized infants and children using convolutional neural networks.
Journal:
International journal of medical informatics
Published Date:
Nov 19, 2020
Abstract
BACKGROUND: Reliable localization and tracking of the eye region in the pediatric hospital environment is a significant challenge for clinical decision support and patient monitoring applications. Existing work in eye localization achieves high performance on adult datasets but performs poorly in the busy pediatric hospital environment, where face appearance varies because of age, position and the presence of medical equipment.