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What is Breast Cancer Image Classification Techniques about?

The document details a project that implemented and compared 10 models for breast cancer histopathology image classification using the BreaKHis dataset, which includes 9,109 images of tumor tissues. The best-performing model was CNN + RF (without PCA) with an accuracy of 86.89%, while PCA was effective in reducing feature dimensionality but sometimes decreased accuracy. Overall, CNN-based models outperformed VGG16-based models, and SVM classifiers showed consistent precision and recall.

Author

kvlbhavya333

Language

EN