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Medical data classifiers
2: Mechanical Engineering
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.
1. This project will utilize machine learning, data analytics, and data visualization skills. Background/interest in these skills are helpful and students can expect to enhance these skills through the project. 2. This project is offered as part of the MechE Alliance industry connected ELO cohorts. Applicants will be expected to participate in the cohort program to be eligible for the position. More information can be found in this Google Doc: https://drive.google.com/file/d/1YbGwDXGAvPDSN6DEDGBw-VDJWS7jnp65/view?usp=sharing This is a remote UROP opportunity.