Artificial Intelligence for Breast Ultrasound: Will It Impact Radiologists’ Accuracy?
Author:
Affiliation:
1. Massachusetts General Hospital, Department of Radiology, Boston, MA, USA
Funder
National Cancer Institute
National Institutes of Health
Publisher
Oxford University Press (OUP)
Subject
Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
http://academic.oup.com/jbi/article-pdf/3/3/312/38087357/wbab022.pdf
Reference16 articles.
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3. Screening breast ultrasound using handheld or automated technique in women with dense breasts;Berg;J Breast Imaging,2019
4. Impact of data presentation on physician performance utilizing artificial intelligence-based computer-aided diagnosis and decision support systems;Barinov;J Digit Imaging,2019
5. Effect of a deep learning framework-based computer-aided diagnosis system on the diagnostic performance of radiologists in differentiating between malignant and benign masses on breast ultrasonography;Choi;Korean J Radiol,2019
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