Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 4 of 4
Full-Text Articles in Engineering
Research: South Dakota State University, Spring 2017, Christie Delfanian, Emily Weber
Research: South Dakota State University, Spring 2017, Christie Delfanian, Emily Weber
Research: South Dakota State University
Pharmacy researcher investigates how aspirin kills cancer cells [page] 1
Problem-solving, cornerstone of SDSU research [page] 2
Fluid flow model evaluates clotting risk in new stent graft design [page] 2
Sanford research project inspires graduate student [page] 3
Experience key to nurses' comfort in communicating with terminally ill patients [page] 4
Nondigestible starch feeds gut microbes, reduces inflammation [page] 5
Researchers investigate workings if antibody therapeutics [page] 6
DNA, RNA sequencing available in campus to researchers statewide [page] 7
QUBIC-R software helps researchers model, visualize gene expression networks [page] 8
Scientists assess survival of swine viruses in imported feed ingredients …
Optimized Multilayer Perceptron With Dynamic Learning Rate To Classify Breast Microwave Tomography Image, Chulwoo Pack
Optimized Multilayer Perceptron With Dynamic Learning Rate To Classify Breast Microwave Tomography Image, Chulwoo Pack
Electronic Theses and Dissertations
Most recently developed Computer Aided Diagnosis (CAD) systems and their related research is based on medical images that are usually obtained through conventional imaging techniques such as Magnetic Resonance Imaging (MRI), x-ray mammography, and ultrasound. With the development of a new imaging technology called Microwave Tomography Imaging (MTI), it has become inevitable to develop a CAD system that can show promising performance using new format of data. The platform can have a flexibility on its input by adopting Artificial Neural Network (ANN) as a classifier. Among the various phases of CAD system, we have focused on optimizing the classification phase …
Enhanced Breast Cancer Classification With Automatic Thresholding Using Support Vector Machine And Harris Corner Detection, Mohammad Taheri
Enhanced Breast Cancer Classification With Automatic Thresholding Using Support Vector Machine And Harris Corner Detection, Mohammad Taheri
Electronic Theses and Dissertations
Image classification and extracting the characteristics of a tumor are the powerful tools in medical science. In case of breast cancer medical treatment, the breast cancer classification methods can be used to classify input images as benign and malignant classes for better diagnoses and earlier detection with breast tumors. However, classification process can be challenging because of the existence of noise in the images, and complicated structures of the image. Manual classification of the images is timeconsuming, and need to be done only by medical experts. Hence using an automated medical image classification tool is useful and necessary. In addition, …
Assessing The Near-Wall Hemodynamics In The Left Coronary Artery Using Cfd, John Junior Asiruwa
Assessing The Near-Wall Hemodynamics In The Left Coronary Artery Using Cfd, John Junior Asiruwa
Electronic Theses and Dissertations
The objective of this thesis is to computationally investigate the flow mechanics and the near-wall hemodynamics associated with the different take-off angles in the left coronary artery of the human heart. From this study, we will be able to evaluate if the increase in the take-off angles of the left coronary artery will significantly increases or decrease the likelihood of plaque (atherosclerosis) buildup in the left coronary artery bifurcations. This study quantifies the effects of the varying take-off angles on the branches along the left anterior descending (LAD) of the left coronary artery using computational fluid dynamics (CFD) simulations. The …