7 datasets found

The dataset used for training and testing the U-Net CNN model.

The dataset used for automatic segmentation of the human claustrum using U-Net CNN model.

The dataset consists of T1-weighted brain MRI images of adults, with manual segmentation of anatomical structures provided.

The Calgary-Campinas brain dataset consists of 45 fully sampled T1w volumes acquired from a 12-channel clinical MR scanner.

The LPBA40 dataset contains 3D brain MRI scans of 40 healthy adults, with image dimensions of 256×124×256 and a voxel size of 0.8938×1.500×0.8594 mm³. Each scan is precisely...

The dataset used for testing was chosen based on their popularity for evaluating registration and variation in structure parcellation methods.

The CANDI dataset comprises 54 T1-weighted brain MRI scans and anatomical segmentations.