metadata

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
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

@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}
}