Masters Thesis Defense for Eli Franklin
02/27/18 at 9:30 AM
February 19, 2018
Faculty, graduate and undergraduate students,
You are cordially invited to my Master’s thesis defense.
Title: Mass Classification of Digital Mammograms Using Convolutional Neural Networks
When: Tuesday, February 27, 2018 at 9:30 AM
Where: Simrall Hall, Room 228 (Conference Room)
Candidate: Elijah Franklin
Degree: Masters, Electrical and Computer Engineering
Committee:
Dr. John E. Ball
(Major Professor)
Dr. Lori M. Bruce
( Committee Member )
Dr. Nicolas H. Younan
(Committee Member)
Abstract:
This thesis explores the current deep learning (DL) approaches to computer aided diagnosis (CAD) of digital mammographic images and presents two novel designs for overcoming current obstacles endemic to the field, using convolutional neural networks (CNNs). The first method employed utilizes Bayesian statistics to perform decision level fusion from multiple images of an individual. The second method utilizes a new data pre-processing scheme to artificially expand the limited available training data and reduce model over-fitting.
Cheers,
Eli Franklin