HAM10000 is a dataset of 10000 training images for detecting pigmented skin lesions. The authors collected dermatoscopic images from different populations, acquired and stored by different modalities.
Source: https://www.kaggle.com/kmader/skin-cancer-mnist-ham10000
Image Source: https://www.kaggle.com/kmader/skin-cancer-mnist-ham10000
Variants: HAM10000
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Semantic Segmentation | MFSNet | MFSNet: A Multi Focus Segmentation … | 2022-03-27 |
Recent papers with results on this dataset: