AI for Medical Diagnosis

Intermediate Level
2 weeks at 10 hours a week
Flexible Schedule

Pranav Rajpurkar , Bora Uyumazturk , Amirhossein Kiani , Eddy Shyu

Skills You’ll Gain

Deep Learning Artificial Intelligence Radiology Medical Science and Research Applied Machine Learning Computer Vision Magnetic Resonance Imaging Keras (Neural Network Library) Machine Learning Algorithms Tensorflow Medical Imaging Predictive Modeling Artificial Neural Networks Machine Learning Natural language processing PyTorch (Machine Learning Library) Data Processing Image Analysis Risk Modeling

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There are 3 modules in this course

By the end of this week, you will practice classifying diseases on chest x-rays using a neural network.

By the end of this week, you will practice implementing standard evaluation metrics to see how well a model performs in diagnosing diseases.

By the end of this week, you will prepare 3D MRI data, implement an appropriate loss function for image segmentation, and apply a pre-trained U-net model to segment tumor regions in 3D brain MRI images.