task_categories:image-classification size_categories:10K<n<100K license:unlicense biology cancer arxiv:1912.12142 region:us
---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: image
    dtype: image
  - name: organ
    dtype:
      class_label:
        names:
          '0': lung
          '1': colon
  - name: label
    dtype:
      class_label:
        names:
          '0': benign
          '1': adenocarcinomas
          '2': squamous carcinomas
  splits:
  - name: train
    num_bytes: 1581800190
    num_examples: 25000
  download_size: 1125348716
  dataset_size: 1581800190
tags:
- biology
- cancer
size_categories:
- 10K<n<100K
license: unlicense
task_categories:
- image-classification
---

[![DOI](https://zenodo.org/badge/DOI/10.48550/arXiv.1912.12142.svg)](https://doi.org/10.48550/arXiv.1912.12142)

# LC25000: Lung and colon histopathological image dataset

**Homepage**: https://github.com/tampapath/lung_colon_image_set/ \
**Publication Date**: 2019-12-14 \
**Citation**:
```bibtex
@misc{borkowski2019lung,
  title         = {Lung and Colon Cancer Histopathological Image Dataset (LC25000)},
  author        = {Andrew A. Borkowski and Marilyn M. Bui and L. Brannon Thomas and Catherine P. Wilson and Lauren A. DeLand and Stephen M. Mastorides},
  year          = {2019},
  eprint        = {1912.12142},
  archiveprefix = {arXiv},
  primaryclass  = {eess.IV}
}
```

The dataset contains color 25,000 images with 5 classes of 5,000 images each. All images are 768 x 768 pixels in size and are in jpeg file format.