Biomedical Optical Imaging and Machine Learning for Cancer and Disease Detection
From Jeff Layne
Electrical and Computer Engineering Department
Dr. Salehi describes different machinery used to detect cancer and other diseases. From ultrasounds to lasers, detecting and locating diseases in the body is a complicated process. Salheli explains the most commonly used systems, the basic structures and how they work, as well as benefits and drawbacks of each optical imaging system. He also recounts how these systems were developed and tested, and when each system should be used.
Recorded: October 26, 2018