Key steps for effective breast cancer prevention
Despite decades of laboratory, epidemiological and clinical research, breast cancer
incidence continues to rise. Breast cancer remains the leading cancer-related cause of …
incidence continues to rise. Breast cancer remains the leading cancer-related cause of …
Digital breast tomosynthesis: concepts and clinical practice
A Chong, SP Weinstein, ES McDonald, EF Conant - Radiology, 2019 - pubs.rsna.org
Digital breast tomosynthesis (DBT) is emerging as the standard of care for breast imaging
based on improvements in both screening and diagnostic imaging outcomes. The additional …
based on improvements in both screening and diagnostic imaging outcomes. The additional …
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis
Background We propose a decision-referral approach for integrating artificial intelligence
(AI) into the breast-cancer screening pathway, whereby the algorithm makes predictions on …
(AI) into the breast-cancer screening pathway, whereby the algorithm makes predictions on …
[HTML][HTML] Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study
Background Mammography is the current standard for breast cancer screening. This study
aimed to develop an artificial intelligence (AI) algorithm for diagnosis of breast cancer in …
aimed to develop an artificial intelligence (AI) algorithm for diagnosis of breast cancer in …
Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach
Breast cancer remains a global challenge, causing over 600,000 deaths in 2018 (ref.). To
achieve earlier cancer detection, health organizations worldwide recommend screening …
achieve earlier cancer detection, health organizations worldwide recommend screening …
Federated learning for breast density classification: A real-world implementation
Building robust deep learning-based models requires large quantities of diverse training
data. In this study, we investigate the use of federated learning (FL) to build medical imaging …
data. In this study, we investigate the use of federated learning (FL) to build medical imaging …
CAD-RADSTM coronary artery disease–reporting and data system. An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT) …
RC Cury, S Abbara, S Achenbach, A Agatston… - Journal of …, 2016 - Elsevier
The intent of CAD-RADS–Coronary Artery Disease Reporting and Data System is to create a
standardized method to communicate findings of coronary CT angiography (coronary CTA) …
standardized method to communicate findings of coronary CT angiography (coronary CTA) …
Diagnostic accuracy of digital screening mammography with and without computer-aided detection
Importance After the US Food and Drug Administration (FDA) approved computer-aided
detection (CAD) for mammography in 1998, and the Centers for Medicare and Medicaid …
detection (CAD) for mammography in 1998, and the Centers for Medicare and Medicaid …
Sensitivity and specificity of mammography and adjunctive ultrasonography to screen for breast cancer in the Japan Strategic Anti-cancer Randomized Trial (J-START …
N Ohuchi, A Suzuki, T Sobue, M Kawai, S Yamamoto… - The Lancet, 2016 - thelancet.com
Background Mammography is the only proven method for breast cancer screening that
reduces mortality, although it is inaccurate in young women or women with dense breasts …
reduces mortality, although it is inaccurate in young women or women with dense breasts …
A case-based interpretable deep learning model for classification of mass lesions in digital mammography
Interpretability in machine learning models is important in high-stakes decisions such as
whether to order a biopsy based on a mammographic exam. Mammography poses …
whether to order a biopsy based on a mammographic exam. Mammography poses …