Bradie Ferguson
Project: Radiomic Texture Analysis of Immunofluorescence Images of Lupus Nephritis Biopsies to Predict Patient Progression to End Stage Renal Disease
Mentor: Maryellen Giger, Department of Radiology
Research Area Keywords: Machine Learning & AI // Image Analysis // Medicine & Health
Project Description: Bradie Ferguson is a pre-med senior at the University of Washington studying bioengineering and chemistry. This summer, she continued work with Drs. Maryellen Giger and Madeleine Durkee on an image analysis project on microscopic images of lupus nephritis biopsies. The goal was to create a multi-feature classifier that can distinguish between patients that progressed to end stage renal disease (ESRD+) and those that did not progress (ESRD-). To accomplish this, radiomic texture analysis was utilized with future plans of using machine learning.