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Medical data classifiers
2: Mechanical Engineering
Theresa Werth: firstname.lastname@example.org
There are many thousands of applications of the pattern classification problem. One example that comes from medicine is to create a classifier that will allow you to classify a benign or malignant tumor based on characteristics of the tumor cell nuclei. Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image. Features have been computed for each cell nucleus. You will explore features and classifiers for medical image data interpretation. Impact: This project is of interest to expert medical systems.
Experience and/or interest in Machine learning and data analytics, data visualization