File size: 3,112 Bytes
fb16dbf de6d915 fb16dbf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 | # Nuclei Grading Dataset for ccRCC
**License:** [Apache-2.0](https://opensource.org/licenses/Apache-2.0)
---
## Overview
This dataset is designed for **nuclei grading** in clear cell renal cell carcinoma (**ccRCC**). It consists of **1000 H&E stained image patches** with a resolution of **512 × 512**.
In total, the dataset contains **70,945 labeled nuclei**, each annotated with:
1. **Instance segmentation masks**
2. **Classification masks**
The original Whole Slide Images (WSIs) are sourced from the **TCGA (The Cancer Genome Atlas)** database.
---
## Data Splits
The dataset is divided into three subsets:
- **Training**: 700 patches
- **Testing**: 200 patches
- **Validation**: 100 patches
---
## Data Composition
Each sample in this dataset comprises two parts:
1. **ROIs (image patches)**:
- Saved as `.png` files under the corresponding folders.
2. **Annotations**:
- Saved as `.mat` files under the corresponding folders.
- Each `.mat` file contains the following three keys:
| **Key** | **Description** |
|---------------------|----------------------------------------------------------------------------------------------------|
| `instance_map` | A pixel matrix with values from 0 to N. <br> **0** represents the background; **1-N** are the instance numbers of each nucleus. |
| `class_map` | A pixel matrix with values from 0 to 4. <br> **0**: Background <br> **1-3**: Tumor nucleus grades 1 to 3 <br> **4**: Endothelial nuclei |
| `TCGA_file_name` | The filename of the original TCGA WSI from which the image patch was cropped. |
---
## Class Distribution
This dataset contains **70,945 annotated nuclei**, distributed across **four classes**:
| **Class** | **Count** | **Color** |
|---------------------------|------------|-----------|
| Endothelial nuclei | 16,652 | **Blue** |
| Grade 1 tumor nuclei | 45,108 | **Green** |
| Grade 2 tumor nuclei | 6,406 | **Yellow**|
| Grade 3 tumor nuclei | 2,779 | **Red** |
---
## Usage and Restrictions
- This dataset is **for research purposes only**.
- **Commercial use is strictly prohibited**.
If you use this dataset in your research, you must cite the following publication:
```bibtex
@inproceedings{gao2021nuclei,
title={Nuclei grading of clear cell renal cell carcinoma in histopathological image by composite high-resolution network},
author={Gao, Zeyu and Shi, Jiangbo and Zhang, Xianli and Li, Yang and Zhang, Haichuan and Wu, Jialun and Wang, Chunbao and Meng, Deyu and Li, Chen},
booktitle={Medical Image Computing and Computer Assisted Intervention--MICCAI 2021: 24th International Conference, Strasbourg, France, September 27--October 1, 2021, Proceedings, Part VIII 24},
pages={132--142},
year={2021},
organization={Springer}
}
``` |