8 datasets found

The AMOS2022 challenge dataset contains 500 CT and 100 MRI scans, distributed into 200+40 (CT + MRI) training, 100+20 validation and 200+40 test images.

Left atrial (LA) segmentation dataset for medical image segmentation

White matter hyperintensities (WMH) dataset for medical image segmentation

Macular hole segmentation dataset using 3D U-Net architecture

Pancreas tumor dataset is a sub-dataset of the Medical Segmentation Decathlon (MSC) MICCAI 2018 challenge.

Bladder tumor dataset contains 2200 MRI slices from 25 patients with pathologically confirmed bladder cancer.

Synthetic malaria dataset created based on the BBBC041v1 image set, used to model different domain shift scenarios.

LIDC-IDRI dataset contains almost all the related information for low-dose lung CTs including several doctors' annotations on nodule sizes, locations, diagnosis results, nodule...