Artificial Intelligence Evaluation of 122 969 Mammography Examinations from a Population-based Screening Program-Reference-Cited by-同舟云学术

Artificial Intelligence Evaluation of 122 969 Mammography Examinations from a Population-based Screening Program

Published:2022-06 Issue:3 Volume:303 Page:502-511
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Larsen Marthe,Aglen Camilla F.^ORCID,Lee Christoph I.,Hoff Solveig R.^ORCID,Lund-Hanssen Håkon^ORCID,Lång Kristina^ORCID,Nygård Jan F.^ORCID,Ursin Giske,Hofvind Solveig^ORCID

Funder

Pink Ribbon campaign

National Cancer Institute

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.212381

Reference26 articles.

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2. Breast-Cancer Screening — Viewpoint of the IARC Working Group

3. Audit feedback on reading performance of screening mammograms: An international comparison

4. Breast Cancer: Missed Interval and Screening-detected Cancer at Full-Field Digital Mammography and Screen-Film Mammography— Results from a Retrospective Review

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