Performance of a Breast Cancer Detection AI Algorithm Using the Personal Performance in Mammographic Screening Scheme-Reference-Cited by-同舟云学术

Performance of a Breast Cancer Detection AI Algorithm Using the Personal Performance in Mammographic Screening Scheme

Published:2023-09-01 Issue:3 Volume:308 Page:
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Chen Yan¹^ORCID,Taib Adnan G.¹^ORCID,Darker Iain T.¹,James Jonathan J.¹^ORCID

Affiliation:

1. From the Department of Translational Medical Sciences, School of Medicine, University of Nottingham, Clinical Sciences Building, Nottingham City Hospital, City Hospital Campus, Hucknall Rd, Nottingham NG5 1PB, United Kingdom (Y.C., A.G.T., I.T.D.); and Nottingham Breast Institute, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (J.J.J.).

Funder

Lunit

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.223299

Reference25 articles.

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

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

3. True and Missed Interval Cancer in Organized Mammographic Screening: A Retrospective Review Study of Diagnostic and Prior Screening Mammograms