Y-Research-Group/OTSurv_Dataset

OTSurv是一个结合了多实例学习和异质性感知最优传输的生存预测框架，适用于医学影像和临床数据的生存分析。数据集包含了多个癌症类型的数据，如膀胱癌、乳腺癌、肺腺癌等。

OTSurv is a survival prediction framework that integrates Multiple Instance Learning (MIL) with Heterogeneity-aware Optimal Transport, designed for survival analysis in medical imaging and clinical data. The dataset includes data for various cancer types such as bladder cancer, breast cancer, lung adenocarcinoma, etc.