LC25000 Lung and colon histopathological image dataset
Andrew A. Borkowski and Marilyn M. Bui and L. Brannon Thomas and Catherine P. Wilson and Lauren A. DeLand and Stephen M. Mastorides

LC25000.zip 1.89GB
Type: Dataset
Tags:

Metadata:
@article{,
title= {LC25000 Lung and colon histopathological image dataset},
keywords= {},
author= {Andrew A. Borkowski and Marilyn M. Bui and L. Brannon Thomas and Catherine P. Wilson and Lauren A. DeLand and Stephen M. Mastorides},
abstract= {LC25000 LUNG AND COLON HISTOPATHOLOGICAL IMAGE DATASET

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. Our dataset can be downloaded as a 1.85 GB zip file LC25000.zip. After unzipping, the main folder lung_colon_image_set contains two subfolders: colon_image_sets and lung_image_sets.

The subfolder colon_image_sets contains two secondary subfolders: colon_aca subfolder with 5000 images of colon adenocarcinomas and colon_n subfolder with 5000 images of benign colonic tissues.

The subfolder lung_image_sets contains three secondary subfolders: lung_aca subfolder with 5000 images of lung adenocarcinomas, lung_scc subfolder with 5000 images of lung squamous cell carcinomas, and lung_n subfolder with 5000 images of benign lung tissues.

```
File counts
./lung_image_sets/lung_aca :     5000
./lung_image_sets/lung_n :     5000
./lung_image_sets/lung_scc :     5000
./colon_image_sets/colon_n :     5000
./colon_image_sets/colon_aca :     5000
```


https://i.imgur.com/aVdT3ks.jpeg

https://i.imgur.com/TNhOxXJ.png

},
terms= {Borkowski AA, Bui MM, Thomas LB, Wilson CP, DeLand LA, Mastorides SM. Lung and Colon Cancer Histopathological Image Dataset (LC25000). arXiv:1912.12142v1 [eess.IV], 2019},
license= {},
superseded= {},
url= {https://github.com/tampapath/lung_colon_image_set/}
}

Citation:
Borkowski, A. A., Bui, M. M., Thomas, L. B., Wilson, C. P., DeLand, L. A., & Mastorides, S. M.. (2020). LC25000 Lung and colon histopathological image dataset [Data set]. Academic Torrents. https://academictorrents.com/details/7a638ed187a6180fd6e464b3666a6ea0499af4af
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