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Various machine learning and deep learning models has been used to compare and evaluate different approaches on a breast cancer histopathological dataset for a multi-class image classification task.

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abdel-habib/magnification-specific-breast-histopathology-image-classification-using-machine-and-deep-learning

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General Info

The categorization of breast cancer into benign and malignant subtypes is the primary focus of this project. The BreaKHis dataset is utilized in this research so that a comparison may be made between Deep Learning, DenseNet, and Machine Learning Algorithms.

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Technologies

Project is created with:

  • Python 3.10.6
  • Tensorflow 2.12.0
  • scikit-learn 1.2.2

How To Run

Under the helpers folder first run the split data python file and after this use the jupyter notebooks to run the project.

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Various machine learning and deep learning models has been used to compare and evaluate different approaches on a breast cancer histopathological dataset for a multi-class image classification task.

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