Undergrad Research Project - Colitis Detection Project

Fall 2015

Student
Seo Heun Lee
Advisor
Jelena Kovačević
Project description

Physicians and pathologists need accurate and fast analysis on the tissue samples that they acquire from biopsies of the patients. Through histology, a diagnosis can be made. But because this process is done manually by pathologists, a tool that will automate the process will greatly enhance the efficiency and ensure the accuracy of the analysis. The purpose of this project is to develop tools that can aid pathologists in analyzing tissue images. By using Matlab, Python, and/or other languages, a UI tool will be developed that will process the images of the tissue samples and assist with a diagnosis. As expected results, we hope to see the tool fully analyze the given tissue sample and provide accurate information about the analysis in a format that can assist the pathologists in making a diagnosis.

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