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1aurent/LC25000

The dataset contains 25,000 color images divided into five classes, each class comprising 5,000 images. All images are 768 × 768 pixels in JPEG format.

Updated 5/25/2024
hugging_face

Description

LC25000: Lung and Colon Histopathological Image Dataset

Dataset Description

  • Features:

    • image: Image data
    • organ: Organ label (lung for lung, colon for colon)
    • label: Pathology label (benign, adenocarcinomas, squamous carcinomas)
  • Split:

    • train: Training set containing 25,000 samples, size 1,581,800,190 bytes
  • Dataset Size:

    • Download size: 1,125,348,716 bytes
    • Dataset size: 1,581,800,190 bytes
  • Tags:

    • biology, cancer
  • Size Category:

    • 10K<n<100K
  • License:

    • unlicense
  • Task Category:

    • image-classification
  • Papers with Code ID:

    • lc25000

Detailed Description

The dataset comprises 25,000 color images split into five categories, each containing 5,000 images. All images are 768 × 768 pixels and stored as JPEG files.

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}
}

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Topics

Image Classification
Cancer Research

Source

Organization: hugging_face

Created: Unknown

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