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Analysis of Cancer Progression by Establishing Quantitative Assessments of Zebrafish Xenografts

Creator:

Gamble, John T.

Abstract:

The goal of this dissertation was to improve our abilities in acquiring critical in vivo data by establishing embryo-larva zebrafish as an exemplary model to quantitatively evaluate cancer progression. The living environment that encompasses a tumor has a significant effect on how cancer develops, grows and metastasizes. In order to...

Resource Type:

Dissertation
Object highlighting : real-time boundary detection using a Bayesian network

Creator:

Jia, Jin

Abstract:

Image segmentation continues to be a fundamental problem in computer vision and image understanding. In this thesis, we present a Bayesian network that we use for object boundary detection in which the MPE (most probable explanation) before any evidence can produce multiple non-overlapping, non-self-intersecting closed contours and the MPE with...

Resource Type:

Masters Thesis
Analysis of bio-based composites for image segmentation with the aid of games

Creator:

Inouye, Jennifer A.

Abstract:

A fundamental problem in computer vision is to partition an image into meaningful segments. While image segmentation is required by many applications, the thesis focuses on segmentation of computed tomography (CT) images for analysis and quality control of composite materials. The key research contribution of this thesis is a novel...

Resource Type:

Masters Thesis
Automating aquatic insect identification through pattern recognition

Creator:

Thomas, Joshua K.

Abstract:

Aquatic insect population counts can be a good indicator of the health, or water quality, of rivers and streams. Stoneflies (Plecoptera) are particularly susceptible to pollution in streams. However, today’s current method for obtaining these population counts requires biologists to examine individual specimens under a microscope for identification to the...

Resource Type:

Masters Thesis