AbdomenAtlas/AbdomenAtlas1.0Mini
AbdomenAtlas 1.0 Mini is a large medical‑image segmentation dataset containing 5,195 annotated CT volumes, used for segmenting multiple organs including spleen, liver, kidney, stomach, gallbladder, pancreas, aorta, and inferior vena cava. The dataset is maintained by the CCVL research group at Johns Hopkins University and is intended for comparing and evaluating various semantic‑segmentation and pre‑training algorithms.
Description
Dataset Overview
Basic Information
- License: Unknown
- Task Type: Image Segmentation
- Tags: Medical
- Friendly Name: AbdomenAtlas 1.0 Mini
- Size Category: 1K < n < 10K
Dataset Description
- Summary: Contains 5,195 annotated CT volumes with labels for spleen, liver, kidney, stomach, gallbladder, pancreas, aorta, and inferior vena cava.
Download Guide
pip install -U "huggingface_hub[cli]"
mkdir AbdomenAtlas
cd AbdomenAtlas
huggingface-cli download AbdomenAtlas/AbdomenAtlas1.0Mini --repo-type dataset --local-dir . --cache-dir ./cache
# Optional resume
huggingface-cli download AbdomenAtlas/AbdomenAtlas1.0Mini --repo-type dataset --local-dir . --cache-dir ./cache --resume-download
Related Papers
-
AbdomenAtlas‑8K: Annotating 8,000 CT Volumes for Multi‑Organ Segmentation in Three Weeks
- Authors: Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang, Alan L. Yuille, Zongwei Zhou
- Institutions: Johns Hopkins University, Rutgers University, City University of Hong Kong, NVIDIA
- Conference: NeurIPS 2023
- Links: paper | code | dataset | annotation | poster
-
AbdomenAtlas‑8K: Human‑in‑the‑Loop Annotating Eight Anatomical Structures for 8,448 Three‑Dimensional CT Volumes in Three Weeks
Citation
@article{qu2023abdomenatlas,
title={Abdomenatlas‑8k: Annotating 8,000 CT volumes for multi‑organ segmentation in three weeks},
author={Qu, Chongyu and Zhang, Tiezheng and Qiao, Hualin and Tang, Yucheng and Yuille, Alan L and Zhou, Zongwei},
journal={Advances in Neural Information Processing Systems},
volume={36},
year={2023}
}
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Topics
Source
Organization: hugging_face
Created: Unknown
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