Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Entire DC Network
Exploring The Intersection Of Race, Socioeconomic Status, Breastfeeding And Breast Cancer, Joanna Lafrance
Exploring The Intersection Of Race, Socioeconomic Status, Breastfeeding And Breast Cancer, Joanna Lafrance
Honors College
This thesis examines the negative correlation between breastfeeding duration and breast cancer rates and how they may intersect with race and socioeconomic status for Black women in the United States. There is well documented evidence that exclusive breastfeeding for at least six months, as recommended by the American Pediatric Association, has numerous benefits to both mother and baby, specifically in decreasing the mother’s lifetime risk of developing breast cancer (1). Similarly, many resources state a negative correlation between number of offspring and breast cancer risk. However, after a systematic analysis of 91 articles was conducted, it appears that statements like …
Predictive Diagnostic Analysis Of Mammographic Breast Tissue Microenvironment, Dexter G. Canning
Predictive Diagnostic Analysis Of Mammographic Breast Tissue Microenvironment, Dexter G. Canning
Honors College
Improving computer-aided early detection techniques for breast cancer is paramount because current technology has high false positive rates. Existing methods have led to a substantial number of false diagnostics, which lead to stress, unnecessary biopsies, and an added financial burden to the health care system. In order to augment early detection methodology, one must understand the breast microenvironment. The CompuMAINE Lab has researched computational metrics on mammograms based on an image analysis technique called the Wavelet Transform Modulus Maxima (WTMM) method to identify the fractal and roughness signature from mammograms. The WTMM method was used to color code the mammograms …