| # 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} | |
| } | |
| ``` |