Am J Ophthalmol 2021 May 16. Epub 2021 May 16.
University of Washington, Department of Ophthalmology University of Washington, Seattle, WA. Electronic address:
Purpose: To develop a deep learning semantic segmentation network to automate the assessment of eight periorbital measurements.
Design: Development and validation of an AI segmentation algorithm METHODS: A total of 418 photographs of periorbital areas were used to train a deep learning semantic segmentation model to segment iris, aperture, and brow areas. This data was used to develop a post-processing algorithm which measured margin reflex distance(MRD) 1 and 2, medial canthal height(MCH), lateral canthal height(LCH), medial brow height(MBH), lateral brow height(LBH), medial intercanthal distance(MID), and lateral intercanthal distance(LID). Read More