projects that can move as controlled by the electronics, including vehicles, toy or real cars, wheelchairs, carts, quadcopters, bicycles, locks, and more
The project is to design an app to diagnose skin condition with deep learning.
Goal Statement:
Our application will diagnosis the disease by the using convolutional neural network trained by thousands of cases which has proved to be more accurate than human diagnosis.
Visual Imparity has been an ongoing issue amongst the masses as showcased by the average 200,000 people whom suffer from some sort of Macular Degenration. Our idea is to utilize implantable microdevices, in the form of Microelectromechanical Systems to combat retinis pigmentosa. Although not set in stone as we are still discussing other viable project ideas, implementation of MEMS to assist with macular degeneration is our current task.
Team: Aaron Zhong, Brian Shen, Leianne Roylo, Yu (Albert) Jiang
Our group consists of four students, three CSE majors (Aaron Zhong, Leianne Roylo, and Yu Jiang) and one EE major with specialization in radio signals (Brian Shen). The mentor for our group is Dr. Nicolás Phielipp.
(Posted on behalf of Dr. Nicolás Phielipp, who is available to mentor EECS and CSE students)
This project entails the integration of brain images (Computed Tomography scan and Magnetic Resonance) into our clinical database. Images are from patients undergoing Deep Brain Stimulation surgery. The main goal is to monitor location of electrodes in relation to response to brain stimulation once we program the stimulator.
