You’ll learn how to apply deep learning to radiology and medical imaging in this class. The workshop covers:
- Image segmentation, which classifies each pixel into a specific class
- Training a Convolutional neural networks (CNNs) to infer the volume of the left ventricle of the human heart from time-series MRI data
- Understand techniques to use radiomics(imaging genomics) to identify the genomics of a disease.
Ideally, students in this course has a basic familiarity with deep neural networks, either through the DLI Fundamentals of Computer Vision course or another online training program. Basic coding experience in python or a similar language is also useful.