The EBHI-Seg dataset is an endoscopic biopsy histopathology dataset designed for image segmentation tasks. It includes 4,456 H&E-stained images with annotations for six types of histopathological sections.
This dataset is clinically significant for assessing image segmentation technologies in early colorectal cancer detection. Colorectal cancer is the fourth most common malignant tumor in men and the third in women globally. Early detection is crucial for effective treatment. The availability of the EBHI-Seg dataset, by providing researchers with high-quality, precisely annotated images, significantly advances this field, helping to improve image segmentation algorithms and enhancing the generalizability and diagnostic efficiency of models.
| Dimensions | Modality | Task Type | Anatomical Structures | Anatomical Area | Number of Categories | Data Volume | File Format |
|---|---|---|---|---|---|---|---|
| 2D | Pathology | Segmentation | Colon | Colon | 6 | 4456 | .png |
| Dataset Statistics | size |
|---|---|
| min | (224, 224) |
| median | (224, 224) |
| max | (224, 224) |
| Category | Normal | Polyp | Low-grade IN | High-grade IN | Serrated adenoma | Adenocarcinoma |
|---|---|---|---|---|---|---|
| Number of Images | 152 | 948 | 1278 | 372 | 116 | 1590 |
| Percentage | 3.41% | 21.27% | 28.68% | 8.35% | 2.60% | 35.68% |
6 types of histopathological image examples (from the original article).
Dataset
│
├── Adenocarcinoma
│ ├── image
│ │ ├── GT2001837-1-400-001.png
│ │ ├── GT2001837-1-400-002.png
│ │ ├── GT2001837-1-400-003.png
│ │ ├── ...
│ ├── label
│ │ ├── GT2001837-1-400-001.png
│ │ ├── GT2001837-1-400-002.png
│ │ ├── GT2001837-1-400-003.png
│ │ ├── ...
├── High-grade IN
├── Low-grade IN
├── Normal
├── Polyp
├── Serrated adenoma
(As there are many authors, here are the first three and the corresponding author)
Liyu Shi (Northeastern University, School of Medicine and Bioinformatics Engineering, Microscopic Imaging and Medical Image Analysis Group)
Xiaoyan Li (Liaoning Cancer Hospital and Institute, Department of Pathology, China Medical University Cancer Hospital)
Weiming Hu (Northeastern University, School of Medicine and Bioinformatics Engineering, Microscopic Imaging and Medical Image Analysis Group)
...
Chen Li (Northeastern University, School of Medicine and Bioinformatics Engineering, Microscopic Imaging and Medical Image Analysis Group)
Official Website: https://figshare.com/articles/dataset/EBHI-SEG/21540159/1
Download Link: https://figshare.com/articles/dataset/EBHI-SEG/21540159/1
Article Address: https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2023.1114673/full
Publication Date: 2023-01
@ARTICLE{10.3389/fmed.2023.1114673,
AUTHOR={Shi, Liyu and Li, Xiaoyan and Hu, Weiming and Chen, Haoyuan and Chen, Jing and Fan, Zizhen and Gao, Minghe and Jing, Yujie and Lu, Guotao and Ma, Deguo and Ma, Zhiyu and Meng, Qingtao and Tang, Dechao and Sun, Hongzan and Grzegorzek, Marcin and Qi, Shouliang and Teng, Yueyang and Li, Chen },
TITLE={EBHI-Seg: A novel enteroscope biopsy histopathological hematoxylin and eosin image dataset for image segmentation tasks},
JOURNAL={Frontiers in Medicine},
VOLUME={10},
YEAR={2023}}
Original introduction article is here.