Evaluation of clinical breast MR imaging performed with prototype computer-aided diagnosis breast MR imaging workstation: reader study.
By A. Shimauchi, Maryellen Lissak Giger, N. Bhooshan, L. Lan, Lorenzo L. Pesce, John K. Lee, H. Abe, G. Newstead. 2011
26 citations recorded by the source corpus.
Subfields: Cancer Research, Radiology, Nuclear Medicine and Imaging
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In Cancer Research
In Radiology, Nuclear Medicine and Imaging
Citations in the corpus
- A case-based interpretable deep learning model for classification of mass lesions in digital mammography (2021, background): “Given the increased benefit of other AI assistance to lessexperienced readers [38, 45], it might be valuable to compare the benefit of this system to both sub-specialists and community radiologists who might be called on to do this work only occasionally.”