---
title: CrossMoDA
canonical_url: "https://www.modelscope.cn/datasets/OmniData/CrossMoDA"
md_url: "https://www.modelscope.cn/datasets/OmniData/CrossMoDA.md"
repository: OmniData/CrossMoDA
last_updated: 2024-07-11
license: "[CC BY-SA 4.0]"
storage_size: "6.2 GB"
domain:
  - publishDate
  - displayName
  - publisher
  - paperUrl
  - publishUrl
  - mediaTypes
  - taskTypes
  - labelTypes
tasks:
  - 2021-04-05
  - "CrossMoDA (Cross-Modality Domain Adaptation)"
  - "crossMoDA-Challenge Team"
  - "https://arxiv.org/pdf/2201.02831v2.pdf"
  - "https://zenodo.org/record/4662239"
  - Image
  - "Semantic Segmentation"
  - Semantic_seg_map
downloads: 59
stars: 0
---

# CrossMoDA

> CrossMoDA - OmniData 在 ModelScope 开源的数据集。displayName: CrossMoDA (Cross-Modality Domain Adaptation) labelTypes: Semanticsegmap license: CC BY-SA 4.0 mediaTypes: Image paperUrl: https://arxiv.org/pdf/2201.02831v2.pdf publishDate: "2021-04-05" publishUrl:…

OmniData/CrossMoDA 是 ModelScope 魔搭社区上的2021-04-05、CrossMoDA (Cross-Modality Domain Adaptation)、crossMoDA-Challenge Team数据集，涉及 publishDate、displayName、publisher 领域，存储大小 6.2 GB，采用 [CC BY-SA 4.0] 许可。

- **Repository**: OmniData/CrossMoDA
- **License**: [CC BY-SA 4.0]
- **Tasks**: 2021-04-05, CrossMoDA (Cross-Modality Domain Adaptation), crossMoDA-Challenge Team, https://arxiv.org/pdf/2201.02831v2.pdf, https://zenodo.org/record/4662239, Image, Semantic Segmentation, Semantic_seg_map
- **Domain**: publishDate, displayName, publisher, paperUrl, publishUrl, mediaTypes, taskTypes, labelTypes
- **Storage size**: 6.2 GB
- **Downloads**: 59
- **Stars**: 0
- **Last updated**: 2024-07-11

Source: https://www.modelscope.cn/datasets/OmniData/CrossMoDA

---

displayName: CrossMoDA (Cross-Modality Domain Adaptation)
labelTypes:
- Semantic_seg_map
license:
- CC BY-SA 4.0
mediaTypes:
- Image
paperUrl: https://arxiv.org/pdf/2201.02831v2.pdf
publishDate: "2021-04-05"
publishUrl: https://zenodo.org/record/4662239
publisher:
- crossMoDA-Challenge Team
tags:
- Vestibular Schwannoma
- Cochleas
taskTypes:
- Semantic Segmentation

---
# 数据集介绍
  ## 简介
  CrossMoDA 是无监督跨模态 DA 的第一个大型多类基准。挑战的目标是分割与前庭神经鞘瘤 (VS) 的随访和治疗计划相关的两个关键大脑结构：VS 和耳蜗。
  ## 引文
  ```
 @article{dorent2022crossmoda,
 title={CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation},
 author={Dorent, Reuben and Kujawa, Aaron and Ivory, Marina and Bakas, Spyridon and Rieke, Nicola and Joutard, Samuel and Glocker, Ben and Cardoso, Jorge and Modat, Marc and Batmanghelich, Kayhan and others},
 journal={arXiv preprint arXiv:2201.02831},
 year={2022}
 }
 ```
  
## Download dataset
:modelscope-code[]{type="git"}