Multi-scale Spatio-temporal Transformer-based Imbalanced Longitudinal Learning for Glaucoma Forecasting from Irregular Time Series Images

no code implementations • 21 Feb 2024 • Xikai Yang, Jian Wu, Xi Wang, Yuchen Yuan, Ning Li Wang, Pheng-Ann Heng

Extensive experiments on the Sequential fundus Images for Glaucoma Forecast (SIGF) dataset demonstrate the superiority of the proposed MST-former method, achieving an AUC of 98. 6% for glaucoma forecasting.

Disease Prediction Irregular Time Series +1