This workshop teaches you how to apply deep learning to radiology and medical imaging. You’ll learn image segmentation, how to train convolutional neural networks (CNNs), and techniques for using radiomics to identify the genomics of a disease.
Learning Objectives
By participating in this workshop, you’ll:
- Train CNNs to infer the volume of the left ventricle of the human heart from time-series MRI data
- Perform image segmentation on MRI images to determine the location of the left ventricle
- Use CNNs to detect heart disease and calculate ejection fractions by measuring the differences between diastole and systole
- Apply CNNs to MRI scans of low-grade gliomas (LGGs) to determine 1p/19q chromosome co-deletion status
Download workshop datasheet (PDF 292 KB)