README.md

metadata

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: 1323930541.5
      num_examples: 17500
    - name: test
      num_bytes: 282747643
      num_examples: 3750
    - name: validation
      num_bytes: 283287993.75
      num_examples: 3750
  download_size: 1889024202
  dataset_size: 1889966178.25
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
      - split: validation
        path: data/validation-*

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}
}