Abstract: Accurate Breast Imaging Reporting and Data System (BI-RADS) classification of breast ultrasound images is vital for the early diagnosis and effective treatment of breast diseases. This paper ...
Breast cancer is the leading cause of cancer-related death among Brazilian women. Understanding the regional disparities in mammographic screening coverage is essential for improving early detection ...
Purpose: To develop and validate an integrated intra-tumoral (ITR) and peritumoral (PTR) radiomics-deep learning model based on ultrasound (US) imaging for accurately differentiating fibroadenomas (FA ...
The role of subdivision of category 4 in the American College of Radiology (ACR) Breast Imaging Reporting and Data System (BI-RADS), with a malignancy risk ranging from 2% to 95%, is well-established ...
Pennsylvania Act 1 of 2023's criteria for supplemental breast cancer screenings disproportionately exclude Black women, exacerbating existing disparities in breast cancer diagnosis. The study found ...
Abstract: Accurate and early breast cancer detection is critical for improving patient outcomes. In this study, we propose PatchCascade-ViT, a novel self-supervised Vision Transformer (ViT) framework ...
Objective: We explored the association of age, obesity and marital status with Breast Imaging Reporting and Data System (BI-RADS) category distribution in women, using retrospective mammography data ...
aDepartment of Information and Computer Sciences, University of Hawaiʻi at Mānoa, POST Bldg, 1860 East-West Rd, Honolulu, HI, 96822, USA bUniversity of Hawaiʻi Cancer Center, 701 Ilalo St, Honolulu, ...
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