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Breast Cancer classification of INbreast dataset Mammograms with VGG-16 and SVM in hybrid setting using transfer learning.

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Breast cancer classification with VGG-16 and SVM

This was the Project Implementation of my MSc. Biomedical Informatics Graduation Thesis from University of Tlemcen (Algeria 🇩🇿)

This is a Breast Cancer Classification Model based on fine-tuned VGG-16 and SVM to classify the INbreast Dataset

I have used a whole image model by @lishen, trained it on Google Colab and added an SVM.svc classifier on top.

Mr. Li Shen's model had performed great with AUC=0.95 (check his Repo and his Paper 🔥);

I managed to get AUC=0.98 with SVM and even better with MLP and Random Forests:


🚨 For any bugs or questions, feel free to report an issue 🚩

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Breast Cancer classification of INbreast dataset Mammograms with VGG-16 and SVM in hybrid setting using transfer learning.

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