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LAA Segmentation Dataset
A dataset for automatic left atrial appendage segmentation in 3D and 4D medical images -
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical I...
Automatic segmentation of medical images is a key step for diagnostic and interventional tasks. However, achieving this requires large amounts of annotated volumes, which can be... -
Atrial Segmentation Challenge dataset
Semantic object segmentation is a fundamental task in medical image analysis and has been widely used in automatic delineation of regions of interest in 3D medical images, such... -
PARSE 2022 Grand Challenge Dataset
The dataset is provided by PARSE 2022 Grand Challenge. The dataset contains 200 3D volumes provided in compressed NIFTI (.nii.gz) format and with refined pulmonary labels. -
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation
Acquiring and annotating sufficient labeled data is crucial in developing accurate and robust learning-based models, but obtaining such data can be challenging in many medical... -
Generative enhancement for 3d medical images
Generative enhancement for 3d medical images
