Deep Learning with PyTorch for Medical Image Analysis

Python, Medical Imaging

Created by: Dr. Joan S Muthu
Co-Founder, Princeton Medical Systems

What Will I Learn?

• The students will learn the different types of images used in medical field from 8-bit images like png, jpeg, bmp to specialized images like DICOM, Nifti, TIFF.
• They will have a hands-on experience of how to read, visualize and write different medical images using python.
• They will gain a comprehensive knowledge of different types of medical images such as 8 and 16-bit images, gray scale and color images, 2D and 3D images.
• The students will also be able to read and write header attributes in the meta data present in image header with python.
• They will also learn to apply basic image processing techniques using python.
• The students will learn to use different python packages and their functions available for different types of medical images.

Requirements

• Basic Python programming

Target audience

• Healthcare IT professionals dealing with specialized medical images used in radiology, pathology etc.
• Beginner python developers dealing with medical image processing with AI.
• Software developers dealing with specialized medical images in healthcare ecosystem.
• And anyone interested in learning how to process and analyze medical images using python.