Browsing by Author "Nguyen, Hanh Hong, 1991-"
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Item A deep convolutional neural network approach for biomedical applications.(December 2022) Nguyen, Hanh Hong, 1991-; Schubert, Keith Evan.Deep learning is a subset of machine learning that uses multi layer neural networks to perform desired tasks by using trained models. Neural networks are nonlinear mapping systems whose structure and function are loosely modeled on the physical structure of the nervous systems in humans and animals. In deep learning, convolutional neural networks (CNNs) have been used to analyze visual tasks for more than 40 years. Since the mid-2000s, they have revolutionized image processing and analysis. The goal of this dissertation is designing a deep CNN approach for biomedical applications, including automation of the process of colon polyps classification as well as single particle identification in radiation therapy.Item Automated medical image segmentation.(2017-12-04) Nguyen, Hanh Hong, 1991-; Schubert, Keith Evan.Computed Tomography (CT) is one of the most common medical diagnostic imaging techniques. Since the first clinical CT scanner was installed in the 1970s, there are about 30,000 CT scanners installed worldwide. Despite of the vast number of scanners and the improvement in image quality, the demand of accuracy in differentiating different region and type of tissue in the treatment area of the patient body is still remains. Some materials are easy to identify while some are not due to their thin shape and/or the limited resolution of the scans. This thesis addresses the problem by investigating several image segmentation techniques to achieve fast performance and better quality tissue assignment.