Leesburg, VA, May 17, 2023—According to an accepted manuscript published in ARRS’ own American Journal of Roentgenology (AJR), deep learning–based computer-aided diagnosis (CAD) for breast lesion ...
Based on data from a multi-site imaging trial involving more than 2,600 women, researchers say breast lesions categorized as 'probably benign' on supplemental screening ultrasound could be ...
Medical big data holds immense potential for enhancing healthcare quality and advancing medical research. However, cross-center sharing of medical data, essential for constructing large and diverse ...
According to an accepted manuscript published in ARRS' own American Journal of Roentgenology (AJR), deep learning–based computer-aided diagnosis (CAD) for breast lesion classification on ultrasound ...
We recruited and trained three nonradiologist health care workers to participate in an institutional review board–approved, Health Insurance Portability and Accountability Act–compliant pilot study in ...
The widespread mammography screening programmes for the early detection of breast cancer gave rise to a tremendous number of biopsies taken in order to determine the nature of sono- or ...
March 2, 2012 (Vienna, Austria) — Multimodal tomography (MUT), a novel 3-dimensional (3D) imaging technology, is effective in detecting and classifying breast lesions as small as 2 mm in size, ...
A new study published in the journal Radiology has revealed that the Breast Imaging and Reporting Data Systems (BI-RADS) terminology used by radiologists to classify breast imaging results can help ...
LOS ANGELES — The Thyroid Imaging Reporting and Data System (TI-RADS), modeled on the BI-RADS classification of breast lesions, has the highest diagnostic accuracy for stratifying thyroid nodules, ...
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