-
African American-Diabetes Heart Study (AA-DHS) dataset
The African American-Diabetes Heart Study (AA-DHS) dataset contains CT scans of abdomen with manual liver segmentation. -
LITS MICCAI-2017 challenge dataset
The LITS MICCAI-2017 challenge dataset is used for training and testing the proposed 2-stage cascaded model for segmentation of liver and its tumors in CT images. -
Deep-Learning-liver-segmentation
A public dataset, available in NifTi format, for automatic liver segmentation. -
Liver Segmentation and Left Ventricle Segmentation
Liver CT and left ventricle MRI data for image segmentation -
CHAOS - Combined (CT-MR) Healthy Abdominal Organ Segmentation Challenge
A dataset for liver segmentation, including CT volumes and corresponding annotations. -
Liver Segmentation using Turbolift learning for CT and Cone-beam C-arm Perfus...
Liver segmentation using Turbolift learning for CT and Cone-beam C-arm Perfusion Imaging -
LiTS17 and SLiver07 datasets
The LiTS17 and SLiver07 datasets are used for training and testing the proposed SAR-U-Net method. -
Liver Dataset
Liver Dataset