New research has found that digital breast tomosynthesis (DBT) availability at breast imaging facilities is similar across ...
This image shows a mammogram of a normal fatty breast, common in older women, with minimal dense tissue. Mammograms are more effective at identifying abnormal lesions or lumps in such non-dense ...
A mammogram report is a summary of findings from your screening or diagnostic mammogram. Your doctor may explain the results to you, but if you use an online patient portal such as MyChart, you should ...
Please provide your email address to receive an email when new articles are posted on . ACP issued new guidance on breast cancer screening frequency and technique in women at average risk. The ...
Pediatric breast masses are rare conditions. Although most of them are benign, they can cause concern in families. The present study aims to determine breast masses’ clinical and pathological outcomes ...
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 ...
Breast cancer remains a leading cause of cancer-related mortality globally, underscoring the critical need for early detection to improve survival rates and reduce treatment invasiveness. This review ...
In a strong indication of the Pentagon’s growing ambitions for a lasting foothold beyond Earth, the Defense Advanced Research Projects Agency (DARPA) recently unveiled early plans for a groundbreaking ...
1 Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea 2 Hanyang Institute of Bioscience and Biotechnology, Hanyang University, Seoul, Republic of Korea ...
We retrospectively analyzed 1,080 nonactionable three-dimensional (3D) reconstructed DBT screening examinations acquired between 2011 and 2016. Reference tissue segmentations were generated using ...
Implementing Cancer Registry Data With the PCORnet Common Data Model: The Greater Plains Collaborative Experience Current image-based long-term risk prediction models do not fully use previous ...