nct-crc-he / README.md
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metadata
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': ADI
            '1': BACK
            '2': DEB
            '3': LYM
            '4': MUC
            '5': MUS
            '6': NORM
            '7': STR
            '8': TUM
  splits:
    - name: nct_crc_he_100
      num_bytes: 15058006
      num_examples: 99
    - name: nct_crc_he_1k
      num_bytes: 151950686
      num_examples: 999
    - name: crc_val_he_7k
      num_bytes: 1092855241.74
      num_examples: 7180
  download_size: 1095677324
  dataset_size: 1259863933.74
configs:
  - config_name: default
    data_files:
      - split: nct_crc_he_100
        path: data/nct_crc_he_100-*
      - split: nct_crc_he_1k
        path: data/nct_crc_he_1k-*
      - split: crc_val_he_7k
        path: data/crc_val_he_7k-*
license: cc-by-sa-3.0
task_categories:
  - image-classification
language:
  - en
tags:
  - biology
  - medical
  - cancer
  - colorectal cancer
pretty_name: NCT_CRC
size_categories:
  - 10K<n<100K

Dataset Card for NCT-CRC-HE

Dataset Summary

The NCT-CRC-HE dataset consists of images of human tissue slides, some of which contain cancer.

Data Splits

The dataset contains tissues from different parts of the body. Examples from each of the 9 classes can be seen below

Tissue examples

Initial Data Collection and Normalization

NCT biobank (National Center for Tumor Diseases) and the UMM pathology archive (University Medical Center Mannheim). Images were normalized using Macenko normalization.

Licensing Information

CC-BY-SA

Citation Information

Owkin claims no ownership of the dataset. This is simply an upload of the original dataset onto HF.

Link to original paper