Improving Accuracy and Efficiency with Concurrent Use of Artificial Intelligence for Digital Breast Tomosynthesis-Reference-Cited by-同舟云学术

Improving Accuracy and Efficiency with Concurrent Use of Artificial Intelligence for Digital Breast Tomosynthesis

Published:2019-07 Issue:4 Volume:1 Page:e180096
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Conant Emily F.¹^ORCID,Toledano Alicia Y.¹^ORCID,Periaswamy Senthil¹^ORCID,Fotin Sergei V.¹^ORCID,Go Jonathan¹,Boatsman Justin E.¹,Hoffmeister Jeffrey W.¹^ORCID

Affiliation:

1. From the Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (E.F.C.); Biostatistics Consulting, Kensington, Md (A.Y.T.); iCAD, Nashua, NH (S.P., S.V.F., J.G., J.W.H.); and Intrinsic Imaging, Bolton, Mass (J.E.B.).

Funder

National Cancer Institute

Publisher

Radiological Society of North America (RSNA)

Subject

General Medicine

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.2019180096

Reference31 articles.

1. Comparison of Digital Mammography Alone and Digital Mammography Plus Tomosynthesis in a Population-based Screening Program

2. Breast Cancer Screening Using Tomosynthesis in Combination With Digital Mammography

3. Increased Cancer Detection Rate and Variations in the Recall Rate Resulting from Implementation of 3D Digital Breast Tomosynthesis into a Population-based Screening Program