30 abdominal CT scans with 13 organ annotations. MICCAI 2015 challenge hosted on Synapse platform.
6 results indexed across 1 metric. Shaded row marks current SOTA; ties broken by submission date.
| # | Model | Org | Submitted | Paper / code | mean-dsc |
|---|---|---|---|---|---|
| 01 | STU-Net-HOSS | Ziyan Huang et al. | Apr 2023 | STU-Net: Scalable and Transferable Medical Image Segment… · code | 85.38 |
| 02 | STU-Net-LOSS | Ziyan Huang et al. | Apr 2023 | STU-Net: Scalable and Transferable Medical Image Segment… · code | 83.54 |
| 03 | nnU-Net v2OSS | German Cancer Research Center (DKFZ) | Apr 2023 | STU-Net: Scalable and Transferable Medical Image Segment… · code | 81.81 |
| 04 | Swin UNETROSS | NVIDIA (MONAI) | Jan 2022 | Self-Supervised Pre-Training of Swin Transformers for 3D… · code | 79.13 |
| 05 | SAM-Med3DOSS | University Medical Center Hamburg-Eppendorf et al. | Aug 2023 | SAM-Med3D: Towards General-purpose Segmentation Models f… · code | 78.94 |
| 06 | UNETROSS | NVIDIA (MONAI) | Oct 2021 | UNETR: Transformers for 3D Medical Image Segmentation · code | 74.52 |
Each row below marks a model that broke the previous record on mean-dsc. Intermediate submissions are kept in the leaderboard above; only SOTA-setting entries are re-listed here.
Higher scores win. Each subsequent entry improved upon the previous best.
Every paper below corresponds to at least one row in the leaderboard above. Click through for the arXiv preprint and, when available, the reference implementation.
Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.