2019 - 22nd Annual Steven Galovich Memorial Student Symposium

Presentation Title

Deep Learning: Chest X-Ray Classification Using Neural Networks

Student Presenter(s) and Advisor

Ryan Zunker, Lake Forest CollegeFollow

Department or Major

Mathematics and Computer Science

Location

Lillard 132

Abstract

X-ray images are the most common form of medical imaging used for diagnosis. Through the use of deep-learning techniques, we are able to group these images into different categories of disease in order to ascertain what disease a patient might have. By using what is known as pre-trained models and convolutional neural networks, all built from scratch, we are able to achieve varying levels of accuracy when attempting diagnosis.

Presentation Type

Individual Presentation

Start Date

4-9-2019 10:30 AM

End Date

4-9-2019 11:45 AM

Panel

Research that Counts: Applied Insights and Theoretical Provocations

Panel Moderator

DeJuran Richardson

Field of Study for Presentation

Computer Science, Mathematics

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Apr 9th, 10:30 AM Apr 9th, 11:45 AM

Deep Learning: Chest X-Ray Classification Using Neural Networks

Lillard 132

X-ray images are the most common form of medical imaging used for diagnosis. Through the use of deep-learning techniques, we are able to group these images into different categories of disease in order to ascertain what disease a patient might have. By using what is known as pre-trained models and convolutional neural networks, all built from scratch, we are able to achieve varying levels of accuracy when attempting diagnosis.