University of Minnesota
Medical School
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Automated Kidney Cancer Imaging                 

Posting expires on 02/24/2018

Research Site:
University of MInnesota - Twin Cities

Type of Research:
Clinical

Department:
Urology

This opportunity does not have a stipend.

Description:
We aim to teach a computer to automatically identify areas within a kidney which may be concerning for renal malignancy.  Then annotate images and teach a computer, using neural networks, to sort patients into malignant or benign tumors, predict complications, and oncologic outcomes.  The role of the student would be to learn to identify renal tumors on CT images and then draw a mask over the kidney and the kidney tumor.  The student may also be involved in chart review and database entry of the clinical outcomes.

Please contact me directly if you are interested:

Chris Weight
cjweight@umn.edu
612-624-4085

Posted on 02/24/2017