Optimization of a Novel Automated, Low Cost, Three-Dimensional Photogrammetry System (PHACE).

Josiah K ToJenny N WangAnderson N Vu Lilangi S Ediriwickrema Andrew W Browne

Published in: medRxiv : the preprint server for health sciences (2023)

We demonstrated an optimized workflow using our custom apparatus to analyze and quantify oculofacial volumetric and dimensions changes with a resolution of 244μL. This apparatus is a low-cost tool that can be used in clinical settings to objectively monitor volumetric and morphological changes in periorbital anatomy.

Keyphrases

low cost
physical activity
machine learning
deep learning
high throughput
electronic health record