Explainable Survival Analysis with Uncertainty using Convolution-Involved Vision Transformer
2024-04-18journal 2024Unverified0· sign in to hype
Zhihao Tang, Li Liu, Yifan Shen, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xujie Sun, Xi Zhang, Chaozhuo Li, Qingfeng Zheng, Lin Yang
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Highlights•Without patching WSIs, a novel ViT-based model is proposed for survival predictions.•We first introduce aleatoric uncertainty into the survival loss function.•We explain survival prediction using a post-hoc explainable method.•Our method outperforms baselines in accuracy, explainability, and reliability.