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Phys_139_project

Using CNNs to classify medical images.

Week 8: create Github (David Culver), preprocess data (Andres Flores), exploratory data analysis (Jacob Ortiz and Garren McKinley)

Week 9: Define metrics (David Culver), implement baseline CNN and run initial experiments (Andres Flores), set up transfer learning pipeline (Jacob Ortiz and Garren McKinley)

Week 10: Develop advance model (David Culver and Andres Flores), train and compare to baseline CNN (Jacob Ortiz and Garren McKinley) Finals: Clean up code (Jacob Ortiz and Garren McKinley), presentation and final 4 page report (All)

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Using diffision models to generate medical imaging data

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