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gccwang/Capillary-Dataset

Capillary dataset Paper: Capillary Dataset: A dataset of nail-fold capillaries captured by microscopy for diabetes detection Github: https://github.com/urgonguyen/Capillarydataset.git The dataset are structured as follows: Capillary dataset ├── Classification ├── data_1x1_224 ├── data_concat_1x9_224 ├── data_concat_2x2_224 ├── data_concat_3x3_224 ├── data_concat_4x1_224 └── data_concat_4x4_224 ├── Morphology_detection… See the full description on the dataset page: https://huggingface.co/datasets/gccwang/Capillary-Dataset.

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Capillary dataset

Paper: Capillary Dataset: A dataset of nail-fold capillaries captured by microscopy for diabetes detection

Github: https://github.com/urgonguyen/Capillarydataset.git

The dataset are structured as follows:

bash
Capillary dataset
    ├── Classification
        ├── data_1x1_224
        ├── data_concat_1x9_224
        ├── data_concat_2x2_224
        ├── data_concat_3x3_224
        ├── data_concat_4x1_224
        └── data_concat_4x4_224
    ├── Morphology_detection
        ├── images
        └── labels
    ├── Video
    ├── classification_original
        ├── diabetic_patients
        └── healthy_subjects
    

We also provide the original dataset, which was collected from participants so that the researcher can select and create their dataset (classification_original).

Citation Information

bibtex
@inproceedings{nguyen2025capillary,
  title={Capillary Dataset: A Dataset of Nail-fold Capillaries Captured by Microscopy for Diabetes Detection},
  author={Nguyen, Hang Thi Phuong and Jeong, Hieyong},
  booktitle={Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2},
  pages={5722--5729},
  year={2025}
}
}
gccwang/Capillary-Dataset · CoolFace