SUN_Colonoscopy_Video
SUN Colonoscopy Video 数据集是由名古屋大学与昭和大学横滨北部医院合作开发的用于息肉检测（polyp detection）的内窥镜视频帧集合。该数据集旨在评估自动化结肠息肉检测技术的有效性，包含来自100个不同息肉的49,136帧息肉图像，所有图像都经过精心标注边界框（bounding box）。此外，数据库还包含109,554帧非息肉场景图像。
内窥镜可视化图片
可视化图片 1
可视化图片 2
数据集元信息
| 维度 | 2D |
| 模态 | endoscopy |
| 任务类型 | detection |
| 解剖结构 | 结肠（colon） |
| 解剖区域 | 结肠 |
| 类别数 | 1 |
| 数据量 | 49,136帧息肉图像，109,554帧非息肉图像 |
| 文件格式 | jpg |
文件结构
├──data
├──SUN-SEG
├──TrainDataset
├──Frame # The images from the SUN dataset
├──case1_1
├──image_name_00001.jpg
|...
├──case1_3
|...
├──GT # Object-level segmentation mask
├──case1_1
├──image_name_00001.png
|...
├──case1_3
|...
├──Edge # Weak label with edge
|...
├──Scribble # Weak label with scribble
|...
├──Polygon # Weak label with Polygon
|...
├──Classification # Category classification annotation
├──classification.txt
├──Detection # Bounding box
├──bbox_annotation.json
├──TestEasyDataset
├──Seen
├──Frame
├──case2_3
|...
├──GT
├──case2_3
|...
|...
├──Unseen
├──Frame
├──case3_1
|...
├──GT
├──case3_1
|...
|...
├──TestHardDataset
├──Seen
├──Frame
├──case1_2
|...
├──GT
├──case1_2
|...
|...
├──Unseen
├──Frame
├──case10_1
|...
├──GT
├──case10_1
|...
|...图像尺寸统计
| 统计类型 | 间距 (mm) | 尺寸 |
|---|---|---|
| 最小值 | - |
- |
| 中位值 | - |
- |
| 最大值 | - |
- |
引用
@article{misawa2021development,
title={Development of a computer-aided detection system for colonoscopy and a publicly accessible large colonoscopy video database (with video)},
author={Misawa, Masashi and Kudo, Shin-ei and Mori, Yuichi and Hotta, Kinichi and Ohtsuka, Kazuo and Matsuda, Takahisa and Saito, Shoichi and Kudo, Toyoki and Baba, Toshiyuki and Ishida, Fumio and others},
journal={Gastrointestinal endoscopy},
volume={93},
number={4},
pages={960--967},
year={2021},
publisher={Elsevier}
}