---
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](https://www.researchgate.net/profile/Jakob-Kather/publication/330609763/figure/fig1/AS:718794859237378@1548385457599/Example-images-for-each-of-the-nine-tissue-classes-represented-in-the-NCT-CRC-HE-100K.png)

### 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](https://zenodo.org/records/1214456)