GlaS|医学图像分析数据集|腺体分割数据集

displayName: GlaS (Gland Segmentation in Colon Histology Images Challenge)
labelTypes:
- InstanceSegMap
license:
- GlaS Custom
mediaTypes:
- Image
paperUrl: https://arxiv.org/pdf/1603.00275v2.pdf
publishDate: "2016"
publishUrl: https://warwick.ac.uk/fac/cross_fac/tia/data/glascontest/
publisher:
- ETH Zurich
- University of Freiburg
- University of Zurich
- École Centrale Paris
- Eindhoven University of Technology
- University of Central Lancashire
- ExB Research and Development
- Peking University Health Science Center
- University of Graz
- Sorbonne University
tags:
- Colon Tissue
taskTypes:
- Instance Segmentation

---
# 数据集介绍
## 简介
本次挑战中使用的数据集包含 165 张图像，这些图像来自 T3 或 T42 期结直肠腺癌的 16 个 H&E 染色组织切片。每个切片属于不同的患者，切片是在实验室的不同场合处理的。因此，该数据集在染色分布和组织结构方面表现出很高的受试者间变异性。使用像素分辨率为 0.465µm 的 Zeiss MIRAX MIDI 幻灯片扫描仪将这些组织切片数字化为全幻灯片图像 (WSI)。
## 引文
```
@article{sirinukunwattana2017gland,
title={Gland segmentation in colon histology images: The glas challenge contest},
author={Sirinukunwattana, Korsuk and Pluim, Josien PW and Chen, Hao and Qi, Xiaojuan and Heng, Pheng-Ann and Guo, Yun Bo and Wang, Li Yang and Matuszewski, Bogdan J and Bruni, Elia and Sanchez, Urko and others},
journal={Medical image analysis},
volume={35},
pages={489--502},
year={2017},
publisher={Elsevier}
}

```

## Download dataset
:modelscope-code[]{type="git"}