Breast Cancer classification of INbreast dataset Mammograms with VGG-16 and SVM in hybrid setting using transfer learning.
About this project
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 :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 :fire:); 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 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! :rotatinglight: For any bugs or questions, feel free to report an issue :triangularflagonpost:
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GitHub
- Stars
- 11
- Forks
- 3
- License
- Apache-2.0
- Last push
- 14 Sept 2025
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