Electrical & Computer Engineering, Department of
First Advisor
Dr. Khalid Sayood
Date of this Version
4-2021
Abstract
Pancreatic cancer is a challenging cancer with a high mortality rate and a 5-year survival rate between 2% to 9%. The role of biomarkers is crucial in cancer prognosis, diagnosis, and predicting the possible responses to a specific therapy. The Discovery and development of various types of biomarkers have been studied intensively in the hope of determining the best treatment approaches, better management, and possibly cure of this deadly cancer. However, metastasis, responsible for about 90% of the deaths from cancer, is still poorly understood. A few research that have investigated the expression of a particular biomarker or a panel of biomarkers in the primary and secondary (metastatic) tumor demonstrates that the expression of different biomarkers in the primary and secondary tumor sites is not necessarily the same, even though the primary and metastatic tumor cells are originated from the same organ. In this project, we aim to design a classifier to distinguish between primary and secondary tumor cells based on their uptake of different biomarkers, using immunofluorescence whole slide imaging. For this purpose, we first register consecutive images of the same slide together to be able to locate multiple biomarkers that belong to a cell and later we design our classifier based on vectors that show the presence or absence of multiple antibodies in addition to the amount of that antibody in a tumor cell.
Advisor: Khalid Sayood
Comments
A THESIS Presented to the Faculty of The Graduate College at the University of Nebraska In Partial Fulfillment of Requirements For the Degree of Master of Science, Major: Electrical Engineering, Under the Supervision of Professor Khalid Sayood. Lincoln, Nebraska: April 2021
Copyright © 2021 Poupack Pooshang Baghery