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数据资源abdominal CT and MRI with multi-organ annotationsabdominal multi-organ segmentation benchmarkAMOS 2022 challenge benchmark; see official Grand Challenge page申请访问

AMOS 腹部多器官分割基准

AMOS is an abdominal multi-organ segmentation benchmark with CT and MRI cases for evaluating versatile medical image segmentation models. It supports abdominal organ segmentation, modality-general segmentation, and benchmarking of robust 3D segmentation methods.

医学影像计算数据集 abdominal imaging multi-organ segmentation CT MRI 查看数据资源

数据资源2D and 3D biomedical imagesstandardized biomedical image benchmark12 2D datasets and 6 3D datasets in MedMNIST v2开放访问

MedMNIST v2 生物医学图像基准

MedMNIST v2 is a standardized collection of lightweight biomedical image classification datasets, including 2D and 3D tasks. It is useful for quick benchmarking, AutoML, foundation model sanity checks, and reproducible evaluation across multiple medical imaging domains.

医学影像计算数据集 MedMNIST 分类 benchmark 2D 3D imaging 查看数据资源