Impact of Different Mammography Systems on Artificial Intelligence Performance in Breast Cancer Screening
Author:
Affiliation:
1. University of Aberdeen
2. NHS Greater Glasgow and Clyde
3. University of Glasgow
4. NHS Grampian; Canon Medical Research Europe–SHAIP platform
Funder
Innovate UK
UK Research and Innovation
Publisher
Radiological Society of North America (RSNA)
Subject
Artificial Intelligence,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
http://pubs.rsna.org/doi/pdf/10.1148/ryai.220146
Reference13 articles.
1. Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy
2. Validation and algorithmic audit of a deep learning system for the detection of proximal femoral fractures in patients in the emergency department: a diagnostic accuracy study
3. Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model
4. External Validation of Deep Learning Algorithms for Radiologic Diagnosis: A Systematic Review
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