SC2: Discover How Machine Learning Can Complement Diagnoses through Medical Imagery

MONDAY, AUGUST 19 | MORNING, 9:00 AM–12:00 PM

ABOUT THIS COURSE:

In this lecture, learn more on the topic of Computer Vision, and how computers can be trained to process what we can at the human eye level or better. We will first cover the overview of available technologies for medical imagery in diagnosis, then will show a demo utilizing Watson Machine Learning and Tensorflow, an open source software library for high performance numerical computation to create a custom image model.

WHAT YOU WILL LEARN:

  • A brief understanding of the current landscape of medical imagery technologies using AI
  • Potential use cases within disease diagnoses by creating a custom model for image classification
  • Steps and technologies to train a custom classifier given a dataset of hundreds or thousands of images 

MEET THE INSTRUCTORS:

Lam_HelenHelen Lam, Software Developer, Developer Advocate, IBM Watson

Helen Lam is a Developer Advocate with IBM with a specialization in Watson and IBM Cloud technologies. Helen’s career includes consulting and software development with IBM’s consultancy, Global Business Solutions, as well as a client technical resource as a Cloud Expert. Interests include open-source technologies for deploying applications, hiking in national parks, and traveling across the globe."

Bourdakos_NicholasNicholas Bourdakos, Software Developer, IBM Watson

Experienced Software Engineer with a demonstrated history of working in the information technology and services industry. Skilled in Python (Programming Language), Java, Android Development, HTML, and Adobe Photoshop. Strong engineering professional graduated from University of Pittsburgh.