30th Annual Student Research Conference
Detecting Lung Cancer in CT Scans using Machine Learning
Nolan A. Walsh* and Joe E. Pratt
Dr. Ruthie Halma, Faculty Mentor
Currently in the United States, lung cancer affects hundreds of thousands of people each year. Early detection of lung cancer can be a major step in helping to save a person’s life. Right now detection of lung cancer can lead to many false positives which cause greater cost and stress on patients. This project aims to improve on this approach by using a machine learning technique known as deep learning, which trains a neural network to detect lung cancer in CT scans. This process was chosen due to its recent success in image detection. This research’s purpose is to prove the plausibility of machine learning approaches in the health care field.
Keywords: Machine Learning, Deep Learning, Lung Cancer, Detection
Topic(s):Computer Science
Presentation Type: Oral Paper
Session: 312-3
Location: VH 1320
Time: 1:30