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ISIC 2018 Task 1 Lesion Segmentation Dataset

Date

3 years ago

Size

12.86 GB

Organization

IBM Thomas J Watson Research Center

Paper URL

arxiv.org

License

Other

Featured Image

The ISIC 2018 dataset is a large-scale dermoscopic image dataset released by the International Skin Imaging Collaboration (ISIC). Task 1 is a dataset about lesion segmentation challenges, containing 2,594 images. The ground truth data of the mask images is generated by several techniques and reviewed and curated by professional dermatologists. This dataset can be used for research on automatic detection of skin diseases based on medical images.

ISIC_2018_Task_1.torrent
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  • ISIC_2018_Task_1/
    • README.md
      1.18 KB
    • README.txt
      2.35 KB
      • data/
        • ISIC2018_Task1-2_Test_Input.zip
          2.21 GB
        • ISIC2018_Task1-2_Training_Input.zip
          12.61 GB
        • ISIC2018_Task1-2_Validation_Input.zip
          12.83 GB
        • ISIC2018_Task1_Training_GroundTruth.zip
          12.85 GB
        • ISIC2018_Task1_Validation_GroundTruth.zip
          12.86 GB

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