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Image Enhancement Of Cancerous Tissue In Mammography Images, Richard Thomas Richardson
Image Enhancement Of Cancerous Tissue In Mammography Images, Richard Thomas Richardson
CCE Theses and Dissertations
This research presents a framework for enhancing and analyzing time-sequenced mammographic images for detection of cancerous tissue, specifically designed to assist radiologists and physicians with the detection of breast cancer. By using computer aided diagnosis (CAD) systems as a tool to help in the detection of breast cancer in computed tomography (CT) mammography images, previous CT mammography images will enhance the interpretation of the next series of images. The first stage of this dissertation applies image subtraction to images from the same patient over time. Image types are defined as temporal subtraction, dual-energy subtraction, and Digital Database for Screening Mammography …
Seniors With Diabetes-Investigation Of The Impact Of Semantic Auditory Distractions On The Usability Of A Blood Glucose Tracking Mobile Application, Jose A. Rivera Rodriguez
Seniors With Diabetes-Investigation Of The Impact Of Semantic Auditory Distractions On The Usability Of A Blood Glucose Tracking Mobile Application, Jose A. Rivera Rodriguez
CCE Theses and Dissertations
Diabetes is the seventh leading cause of death in the United States. With the population rapidly aging, it is expected that 1 out of 3 Americans will have diabetes by 2050. Mobile devices and mobile applications have the potential to contribute to diabetes self-care by allowing users to manage their diabetes by keeping track of their blood glucose levels. Usability is important for systems that help people self-manage conditions such as diabetes. Age and diabetes-related cognitive decline might intensify the impact of usability issues for the users who need these mobile applications the most. As highlighted by usability researchers, the …