INBreast Dataset Classification with Hybrid Approach Using Fine-Tuned VGG-16

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

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:

Citation

If you use this code in your research or projects, please cite my master's thesis:

BibTeX Entry

@mastersthesis{briki2020medical,
  title={Medical images classification based on deep features extraction exploiting transfer learning},
  author={BRIKI, Mohamed Elamine},
  year={2020},
  url={https://www.researchgate.net/publication/361441022_Medical_Images_Classification_Based_on_Deep_Features_Extraction_Exploiting_Transfer_Learning}
}

Acknowledgment

Additionally, please acknowledge this repository in your work if you utilize this code. A simple statement such as:

"This work utilizes the code available at repository link"

would be greatly appreciated.

Thank you for your interest in my research!

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