1. deep learning approaches for object tracking and motion estimation of ultrasound imaging sequences Open Access Author: Alshahrani, Mohammed Title: deep learning approaches for object tracking and motion estimation of ultrasound imaging sequences Graduate Program: Computer Science and Engineering (MS) Keywords: Deep LearningObject trackingCFNetAdvanced-CFNet File: Download Final_submission.pdf Committee Members: John Sampson, Professor in Charge/Director of Graduate StudiesMohamed Khaled Almekkawy, Thesis Advisor/Co-AdvisorWilliam Evan Higgins, Committee Member
