Renal Cell Carcinoma Classification Project
The last project I worked on during my undergrad
Above Reference Image Source: Toquero, Lawrence & Aboumarzouk, Omar & Abbasi, Zahir. (2009). Renal cell carcinoma metastasis to the ovary: A case report. Cases journal. 2. 7472. 10.4076/1757-1626-2-7472.
I joined this Informatics Skunkworks project during my last semester at the University of Wisconsin - Madison. For this project, we were given three dimensional CT images and a script to segment these images into only the relevant area, specifically the kidney. I made some tweaks to the segmenting script and created a pipeline to convert the segmented three dimensional mat files into two dimensional images. The pipeline allowed for converting the three dimensional scan into a series of two dimensional images or an individual image based on chosen criteria (largest slice, middle slice, etc.). I then used transfer learning to train a model that would classify a carcinoma as low grade or high grade. Though I was able to see some initial results, I graduated before being able to see this project to completion.
The actual data used has been excluded due to data handling guidelines
View Code [Github]