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MICCAI 2018 segmentation decathlon challenge
MRI dataset for hippocampus segmentation -
fastMRI, SMS, and uMRI datasets
The dataset used in the paper is fastMRI, SMS, and uMRI datasets. The fastMRI dataset is a large open-access MRI dataset. The SMS dataset is a dataset of T1WI and T2WI images.... -
The multimodal brain tumor image segmentation benchmark (brats)
The multimodal brain tumor image segmentation benchmark (brats). -
BFRnet: A deep learning-based MR background field removal method for QSM
A deep learning-based method for background field removal in MRI, specifically for QSM in the brain containing significant pathological susceptibility sources -
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segme...
The V-Net is a deep learning model for medical image segmentation that uses a U-Net architecture. -
Segmentation of breast cancers on MRI
A large dataset of breast MRI scans for segmentation of breast cancers -
TCIA-Glioma
The TCIA-Glioma dataset is a multi-modal MRI scans dataset for brain tumor segmentation. -
rsna-asnr-miccai brats 2021 benchmark
The rsna-asnr-miccai brats 2021 benchmark dataset is a multi-modal MRI scans dataset for brain tumor segmentation. -
Detection and Classification of Glioblastoma Brain Tumor
Glioblastoma brain tumor detection and segmentation using preprocessed brain MRI images -
HFH dataset
The HFH dataset includes 50 T1-weighted MRI brain images from two different MRI vendors, with varying resolutions and contrasts. The image dimensions are 256×124×256 and... -
LPBA40 dataset
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... -
EADC-ADNI dataset
The EADC-ADNI dataset contains MR images of 135 patients, with an image resolution of 197×233×189 and a voxel size of 1×1×1 mm³. The hippocampus annotations for each image were... -
BraTS2021 dataset
The BraTS2021 dataset is an important resource in the field of brain tumor segmentation, consisting of multi-modal magnetic resonance imaging (MRI) data, including four imaging... -
BrainWeb database
The BrainWeb database is a collection of MRI images with known noise levels. -
IXI dataset
The dataset consists of T1-weighted brain MRI images of patients, with manual segmentation of anatomical structures provided. -
On the Rician distribution of noisy MRI data
The Rician distribution of noisy MRI data. -
ACDC MRI Cardiac Segmentation Dataset
Medical image segmentation dataset -
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification
A breast cancer malignancy classification dataset using dynamic contrast-enhanced MRI images -
IXI and ICBM datasets
MRI anonymization dataset
