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This project uses the LC25000 dataset, consisting of histopathological images, to classify colon and lung tissues. Machine learning models are trained to identify different tissue types and detect abnormalities. The dataset includes images in various formats, including .pkl, and is organized by tissue type.

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LC25000

LC25000 Classification Colon and Lung

LC25000 Dataset

The LC25000 dataset consists of histopathological images of colon and lung tissues. It is used for training machine learning models to classify different types of tissues and detect abnormalities.

Dataset Structure

The dataset is organized into folders, each containing images of a specific tissue type. The images are stored in various formats, including .pkl files, which are used for storing serialized data.

Contributing

If you would like to contribute to this project, please fork the repository and submit a pull request with your changes.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Acknowledgements

  • The LC25000 dataset is provided by [Andrew A. Borkowski, Marilyn M. Bui, L. Brannon Thomas, Catherine P. Wilson, Lauren A. DeLand, Stephen M. Mastorides].

About

This project uses the LC25000 dataset, consisting of histopathological images, to classify colon and lung tissues. Machine learning models are trained to identify different tissue types and detect abnormalities. The dataset includes images in various formats, including .pkl, and is organized by tissue type.

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