The ¹ÏÉñÍø Vision Lab took first place in the 2017 BraTS (Brain Tumor Segmentation) Challenge competition for the analysis of brain tumor images. The Vision Lab, led by Dr. Khan Iftekharuddin in the department of Electrical and Computer Engineering, aims to develop novel theory, algorithms, and real-time implementations in biomedical, autonomous robotics, human- and machine-centric recognition, and environment & geoscience applications based on the disciplines of computer vision, signal/image processing and machine learning.
The Vision Lab makes extensive use of the Turing cluster for their computationally intensive workloads. Turing's high memory nodes and multi-core CPU nodes, in addition to the GPU nodes, provide the horsepower necessary for the machine learning and deep learning models.
For the brain tumor segmentation project, the Vision Lab researchers use random forest machine learning and deep learning to pull meaningful features from MRI data to identify abnormal brain tissues.
Thank you Dr. Khan for your continued support of the research computing environment and contribution to research excellence at ¹ÏÉñÍø.