SLIT-Net_v2

This repository contains the code for "J. Loo, M. A. Woodward, V. Prajna, M. F. Kriegel, M. Pawar, M. Khan, L. M. Niziol, and S. Farsiu, “Open-Source Automatic Biomarker Measurement on Slit-Lamp Photography to Estimate Visual Acuity in Microbial Keratitis”, Translational Vision Science & Technology 10(12), 2, 2021"

Link: https://tvst.arvojournals.org/article.aspx?articleid=2777943
DOI: 10.1167/tvst.10.12.2

• Dataset download

  • Please download the datasets from: https://duke.box.com/s/7m1dake4tbsexrwma4yjfnx7ia6badej

• Trained models download

  • Please download the trained models from: https://duke.box.com/s/shm18dwgfsy1x5u55tu6zeg02tai36d0

• Training segmentation models

  • Please see Code/Segmentation/Segmentation_pipeline_white.sh and Code/Segmentation/Segmentation_pipeline_blue.sh

• Training BCVA prediction models

  • Please see Code/BCVA_Prediction/BCVA_Prediction_pipeline.sh