Accuracy, acceptability and feasibility of photography for use in trachoma surveys: a mixed methods study in Tanzania.

Donal BisanzioRobert M R ButcherValérian TurbéKenji MatsumotoChaitra DineshPatrick MassaeMichael DejeneCristina JimenezColin K MacleodEinoti MatayanCaleb MpyetAlex PavluckMartha Idalí Saboyá-DíazFentahun TadesseSandra Liliana TaleroAnthony W SolomonJeremiah NgondiGeorge KabonaCecilia UissoAlistidia SimonUpendo MwingiraEmma Michèle Harding-Esch

Published in: International health (2024)

Photography is acceptable and feasible, but further work is needed to ensure high-quality images that enable accurate and consistent grading before being routinely implemented in trachoma surveys.

Keyphrases

cross sectional
deep learning
convolutional neural network
high resolution
optical coherence tomography
machine learning
mass spectrometry