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---
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
## 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}
}
```
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