---
title: Breast_Cancer_Segmentation
canonical_url: "https://www.modelscope.cn/datasets/OmniData/Breast_Cancer_Segmentation"
md_url: "https://www.modelscope.cn/datasets/OmniData/Breast_Cancer_Segmentation.md"
repository: OmniData/Breast_Cancer_Segmentation
last_updated: 2024-07-08
license: "[CC0 1.0]"
storage_size: "1.3 GB"
domain:
  - publishDate
  - displayName
  - publisher
  - publishUrl
  - paperUrl
tasks:
  - 2019
  - "Breast Cancer Segmentation"
  - "Emory University School of Medicine"
  - "https://bcsegmentation.grand-challenge.org"
  - "https://watermark.silverchair.com/btz083.pdf"
downloads: 711
stars: 0
---

# Breast_Cancer_Segmentation

> Breast_Cancer_Segmentation - OmniData 在 ModelScope 开源的数据集。displayName: Breast Cancer Segmentation license: CC0 1.0 paperUrl: https://watermark.silverchair.com/btz083.pdf publishDate: "2019" publishUrl: https://bcsegmentation.grand-challenge.org publisher:…

OmniData/Breast_Cancer_Segmentation 是 ModelScope 魔搭社区上的2019、Breast Cancer Segmentation、Emory University School of Medicine数据集，涉及 publishDate、displayName、publisher 领域，存储大小 1.3 GB，采用 [CC0 1.0] 许可。

- **Repository**: OmniData/Breast_Cancer_Segmentation
- **License**: [CC0 1.0]
- **Tasks**: 2019, Breast Cancer Segmentation, Emory University School of Medicine, https://bcsegmentation.grand-challenge.org, https://watermark.silverchair.com/btz083.pdf
- **Domain**: publishDate, displayName, publisher, publishUrl, paperUrl
- **Storage size**: 1.3 GB
- **Downloads**: 711
- **Stars**: 0
- **Last updated**: 2024-07-08

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

---

displayName: Breast Cancer Segmentation
license:
- CC0 1.0
paperUrl: https://watermark.silverchair.com/btz083.pdf
publishDate: "2019"
publishUrl: https://bcsegmentation.grand-challenge.org
publisher:
- Alexandria University
- Cairo University
- Emory University School of Medicine
tags:
- Breast Cancer

---
# 数据集介绍
  ## 简介
  乳腺癌语义分割 (BCSS)
BCSS数据集包含来自TCGA的乳腺癌图像的组织区域的超过20,000的分割注释。通过病理学家，病理学居民和医学生使用数字幻灯片存档的共同努力，对这个大型数据集进行了注释。它可以生成用于组织分割的高精度机器学习模型。
  
## Download dataset
:modelscope-code[]{type="git"}