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Datasets › MICCAI 2015 Multi-Atlas Abdomen Labeling Challenge

MICCAI 2015 Multi-Atlas Abdomen Labeling Challenge

15 Apr 2015 archive 2025-07-28

Under Institutional Review Board (IRB) supervision, 50 abdomen CT scans of were randomly selected from a combination of an ongoing colorectal cancer chemotherapy trial, and a retrospective ventral hernia study. The 50 scans were captured during portal venous contrast phase with variable volume sizes (512 x 512 x 85 - 512 x 512 x 198) and field of views (approx. 280 x 280 x 280 mm3 - 500 x 500 x 650 mm3). The in-plane resolution varies from 0.54 x 0.54 mm2 to 0.98 x 0.98 mm2, while the slice thickness ranges from 2.5 mm to 5.0 mm. The standard registration data was generated by NiftyReg.

Source: MICCAI 2015 Multi-Atlas Abdomen Labeling Challenge

Image source: MICCAI 2015 Multi-Atlas Abdomen Labeling Challenge

HomepageBenchmarksPapers JSON

Benchmarks archive 2025-07-28

All 3 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Medical Image Segmentation Synapse multi-organ CT Interactive AI-SAM gt box Avg DSC 90.66 AI-SAM: Automatic and Interactive Segment Anything Model ymp5078/ai-sam 23 Compare
Medical Image Segmentation MICCAI 2015 Multi-Atlas Abdomen Labeling Challenge MERIT Avg DSC 84.90 Multi-scale Hierarchical Vision Transformer with... SLDGroup/MERIT 8 Compare
Medical Image Segmentation Synapse nnFormer Dice score 0.874 nnFormer: Interleaved Transformer for Volumetric Segmentation PaddlePaddle/PaddleSeg +1 1 Compare

Papers archive 2025-07-28

25 shown of 25 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 31. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
RWKV-UNet: Improving UNet with Long-Range Cooperation for Effective Medical Image Segmentation 1 1 14 Jan 2025 not harvested
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging 1 1 17 Dec 2024 not harvested
SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation 1 2 21 Jun 2024 not harvested
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation 1 2 11 May 2024 ran 20 of 23 samples (3 unverified; 23 pointer-only for licence)
Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging 1 1 28 Apr 2024 not harvested
SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation 2 1 15 Apr 2024 ran 2 of 2 samples (0 unverified; 2 pointer-only for licence)
AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation 1 1 29 Mar 2024 not harvested
ParaTransCNN: Parallelized TransCNN Encoder for Medical Image Segmentation 1 1 27 Jan 2024 not harvested
AI-SAM: Automatic and Interactive Segment Anything Model 1 2 5 Dec 2023 not harvested
MIST: Medical Image Segmentation Transformer with Convolutional Attention Mixing (CAM) Decoder 1 1 30 Oct 2023 not harvested
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation 1 2 24 Oct 2023 ran 6 of 9 samples (3 unverified; 9 pointer-only for licence)
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation 5 1 25 Apr 2023 not harvested
Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation 1 2 29 Mar 2023 not harvested
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation 1 1 17 Mar 2023 ran 2 of 4 samples (2 unverified)
MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer 2 1 19 Jan 2023 ran 13 of 21 samples (8 unverified)
Medical Image Segmentation via Cascaded Attention Decoding 1 2 3 Jan 2023 not harvested
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural Networks 1 1 9 Oct 2022 not harvested
Adaptive t-vMF Dice Loss for Multi-class Medical Image Segmentation 1 1 16 Jul 2022 not harvested
MISSFormer: An Effective Medical Image Segmentation Transformer 1 1 15 Sep 2021 not harvested
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer 3 1 9 Sep 2021 ran 1 of 1 samples (0 unverified; 1 pointer-only for licence)
nnFormer: Interleaved Transformer for Volumetric Segmentation 2 2 7 Sep 2021 ran 1 of 1 samples (0 unverified)
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation 7 1 12 May 2021 ran 3 of 18 samples (15 unverified)
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation 22 1 8 Feb 2021 ran 6 of 7 samples (1 unverified; 7 pointer-only for licence)
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers 5 1 31 Dec 2020 not harvested
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation 9 1 27 Sep 2018 ran 3 of 11 samples (8 unverified)

Dataset loaders archive 2025-07-28

HuCaoFighting/Swin-Unetpytorch

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

Medical Image Segmentation

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Medical

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • MICCAI 2015 Multi-Atlas Abdomen Labeling Challenge
  • Synapse multi-organ CT
  • Synapse

3 variant names, as the archive lists them.

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