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Deep Transfer Learning for Breast Cancer Detection


Description Machine learning solutions for the automatic detection of breast cancer metastases have the potential to aid patient out comes by reducing subjectivity in diagnosis
Task The interested student(s) will explore deep transfer learning solutions to increase the robustness of image based breast cancer detection by intelligently transfer key information from related data sources
Utilises OpenCV, Python and related deep learning toolkit, transfer learning, data augmentation
Requirements Preliminary knowledge in Machine Learning, Good programming skills (e.g. Python, C++)
Languages English
Supervisor Dr. Nicholas Cummins (nicholas.cummins@informatik.uni-augsburg.de)