| --- |
| license: cc-by-4.0 |
| task_categories: |
| - image-segmentation |
| tags: |
| - medical |
| - polyp-segmentation |
| - colonoscopy |
| - gastrointestinal |
| size_categories: |
| - n<1K |
| pretty_name: CVC-ClinicDB |
| --- |
| |
| # CVC-ClinicDB: Colonoscopy Polyp Segmentation Dataset |
|
|
| ## Dataset Description |
|
|
| CVC-ClinicDB is a colonoscopy polyp segmentation dataset containing 612 frames extracted from 29 colonoscopy sequences with corresponding ground truth segmentation masks. |
|
|
| - **Task**: Binary segmentation (polyp vs. background) |
| - **Modality**: Colonoscopy |
| - **Format**: PNG images (384x288 pixels) with binary masks |
| - **Splits**: Training, Validation, and Test sets |
|
|
| ## Dataset Structure |
|
|
| ``` |
| CVC-ClinicDB/ |
| ├── train/ |
| │ ├── images/ # Training images |
| │ └── masks/ # Training masks |
| ├── validation/ |
| │ ├── images/ # Validation images |
| │ └── masks/ # Validation masks |
| └── test/ |
| ├── images/ # Test images |
| └── masks/ # Test masks |
| ``` |
|
|
| ## Citation |
|
|
| If you use this dataset, please cite: |
|
|
| ```bibtex |
| @article{bernal2015wm, |
| title={WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians}, |
| author={Bernal, Jorge and S{'a}nchez, F Javier and Fern{'a}ndez-Esparrach, Gloria and Gil, Debora and Rodr{\'\i}guez, Cristina and Vilari{\~n}o, Fernando}, |
| journal={Computerized Medical Imaging and Graphics}, |
| volume={43}, |
| pages={99--111}, |
| year={2015}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| **Dataset Split**: This train/validation/test split is created by the following study. Please find more details in: |
|
|
| ```bibtex |
| @article{chang2024esfpnet, |
| title={ESFPNet: Efficient Stage-Wise Feature Pyramid on Mix Transformer for Deep Learning-Based Cancer Analysis in Endoscopic Video}, |
| author={Chang, Qi and Ahmad, Danish and Toth, Jennifer and Bascom, Rebecca and Higgins, William E}, |
| journal={Journal of Imaging}, |
| volume={10}, |
| number={8}, |
| pages={191}, |
| year={2024}, |
| publisher={MDPI} |
| } |
| ``` |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # Load dataset |
| dataset = load_dataset("Angelou0516/CVC-ClinicDB") |
| |
| # Access splits |
| train_data = dataset['train'] |
| val_data = dataset['validation'] |
| test_data = dataset['test'] |
| |
| # Access a sample |
| sample = train_data[0] |
| image = sample['file_name'] # Image |
| mask = sample['mask_file_name'] # Segmentation mask |
| ``` |
|
|
| ## License |
|
|
| Please refer to the original CVC-ClinicDB dataset license and citation requirements. |
|
|
| ## Links |
|
|
| - Original Dataset: https://polyp.grand-challenge.org/CVCClinicDB/ |
| - Paper: https://www.sciencedirect.com/science/article/pii/S0895611115000567 |
|
|
