---
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
paperswithcode_id: lc25000
---

# LC25000: Lung and colon histopathological image dataset

![](https://www.researchgate.net/publication/364662639/figure/fig6/AS:11431281092195560@1666747477197/Dataset-LC25000-From-left-to-right-benign-lung-pathology-image-Lung-n-lung.ppm)

## Dataset Description

- **Homepage**: [github.com:tampapath/lung_colon_image_set](https://github.com/tampapath/lung_colon_image_set)
- **DOI**: https://doi.org/10.48550/arXiv.1912.12142
- **Publication Date** 2019-12-14

## Description

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.

## 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}
}
```