4 papers
Artificial Intelligence-Informed Handheld Breast Ultrasound for Screening: A Systematic Review of Diagnostic Test Accuracy
Arianna Bunnell, Dustin Valdez, Fredrik Strand +3
Background. Breast cancer screening programs using mammography have led to significant mortality reduction in high-income countries. However, many low- and middle-income countries…
Deep Learning Predicts Mammographic Breast Density in Clinical Breast Ultrasound Images
Arianna Bunnell, Dustin Valdez, Thomas K. Wolfgruber +8
Background: Breast density, as derived from mammographic images and defined by the American College of Radiology's Breast Imaging Reporting and Data System (BI-RADS), is one of the…
Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound
Arianna Bunnell, Yannik Glaser, Dustin Valdez +6
Detecting and classifying lesions in breast ultrasound images is a promising application of artificial intelligence (AI) for reducing the burden of cancer in regions with limited a…
Quantitative Imaging Principles Improves Medical Image Learning
Lambert T. Leong, Michael C. Wong, Yannik Glaser +4
Fundamental differences between natural and medical images have recently favored the use of self-supervised learning (SSL) over ImageNet transfer learning for medical image applica…