Project: Pneumonia Detection from X-Ray Images

Summary

In this project, you will

1. Distill data that are useful for training algorithms to detect pneumonia from a giant set of chest x-ray images taken from actual patients.
2. Build a CNN model to detect the presence or absence of pneumonia.
3. Build wrappers that read medical images from their real-world clinical formats (DICOM).
4. Write up a documentation & validation plan of your algorithm for FDA 510(k) submission.