14 datasets found

A public benchmark for the cardiac substructure segmentation task, which consists of 20 unpaired CT and 20 MRI images from 40 patients.

A private clinical CMR dataset with patient’s consent.

The dataset used in the paper is the MyoPS dataset, which provides three-sequence Cardiac Magnetic Resonance (LGE, T2 and C0) and three anatomy masks, including myocardium...

Cardiac Challenge Dataset

The dataset for this study was provided by the Multi-Centre, Multi-Vendor & Multi-Disease (M&Ms) Cardiac Image Segmentation Challenge

The Myocardial pathology segmentation (MyoPS) dataset is a multi-sequence CMR dataset that contains in total 25 volumes and 102 slices in the training set.

Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: Is the problem solved?

Cardiac MRI dataset for left ventricle quantification

Cardiac dataset contains cardiac MRI scans with 3 annotated structures.

Cardiac image segmentation dataset

Automated cardiac diagnosis challenge dataset contains 100 samples, which we divided into 70 training samples, 10 validation samples, and 20 test samples.

Multislice free-breathing and ungated cardiac MRI data

The UK Biobank dataset consists of SAX and LAX cine CMR images of normal subjects. Cardiac structures, LV cavity (LVC), LV myocardium (LVM), and right-ventricle cavity (RVC)...

ACDC dataset contains 100 samples with the cavity of the right ventricle (RV), the myocardium of the left ventricle (MYO), and the cavity of the left ventricle (LV) to be...