Back to datasets
Dataset assetOpen Source CommunitySemantic SegmentationMedical Image Processing

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.

Source
hugging_face
Created
Nov 28, 2025
Updated
Apr 21, 2024
Signals
170 views
Availability
Linked source ready
Overview

Dataset description and usage context

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

    • 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: RSNA 2023 (Oral Presentation)
    • Links: paper | code | slides

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}
}
Need downstream help?

Pair the dataset with AI analysis and content workflows.

Once the source passes your review, move straight into summarization, transformation, report drafting, or presentation generation with the JuheAI toolchain.

Explore AI studio