A Deep Learning Model to Triage Screening Mammograms: A Simulation Study-Reference-Cited by-同舟云学术

A Deep Learning Model to Triage Screening Mammograms: A Simulation Study

Published:2019-10 Issue:1 Volume:293 Page:38-46
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Yala Adam¹^ORCID,Schuster Tal¹^ORCID,Miles Randy¹,Barzilay Regina¹^ORCID,Lehman Constance¹^ORCID

Affiliation:

1. From the Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Mass (A.Y., T.S., R.B.); and Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, WAC 240, Boston, Mass 02114-2698 (R.M., C.L.).

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2019182908

Reference25 articles.

1. The benefits and harms of breast cancer screening: an independent review

2. Mammographic breast cancer screening —a randomized trial in Malmö, Sweden

3. REDUCTION IN MORTALITY FROM BREAST CANCER AFTER MASS SCREENING WITH MAMMOGRAPHY

4. The Edinburgh randomised trial of screening for breast cancer: Description of method

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