Comparing image quality and trachoma detection across three camera types from a survey in Kongwa, Tanzania.

Ugochi T AguwaHarran MkochaBeatriz MunozMeraf A WolleChristopher J BradySheila K West

Published in: International health (2023)

Smartphones with high-quality image capture, like the iPhone SE/13 Pro, have the potential for use in trachoma surveys if the proportion of gradable images can be improved.

Keyphrases

image quality
deep learning
convolutional neural network
computed tomography
dual energy
loop mediated isothermal amplification
cross sectional
anti inflammatory
label free
real time pcr
optical coherence tomography
high speed
human health
machine learning
risk assessment
drug administration