This study aimed to examine the impact of early age recommendation for initiating screening mammography (i.e., 40 years) on time to breast cancer diagnosis.Methods:This is a retrospective cohort study of adult women who received a screening mammogram between 1/1/2012 and 12/31/2022. The ...
while some datasets are publicly available to the research community, some have restricted access or are not open13,14,15,16,17,18,19(see Table1). Digital Database for Screening Mammography (DDSM)18and Mammographic Image
effectively enhancing the differences between different groups of data and obtaining significant gene information related to AD through model screening. Moreover, our data fusion approach has enriched the dataset, providing a diverse source of data and a more comprehensive feature representation for the ...
Moreover, access to mammography facilities was measured for several different radii. Several different radii were used since it is not well established in the literature what minimum distance a woman would be willing to travel to get a mammogram.; Two different dependent variables, 'breast cancer ...
Therefore, an accurate breast cancer detection and classification approach is proposed for screening of mammograms. In this paper, we present a deep learning system that can identify breast cancer in mammogram screening images using an “end-to-end” training strategy that efficiently uses mammography...
Recent studies have indicated that machine learning and deep learning mod- els for skin cancer screening have been on the rise. This is primarily because these models, as well as other variants of Artificial Intelligence, use a concoction of algorithms, and when provided with data, accomplish ...