AsymMirai: Interpretable Mammography-based Deep Learning Model for 1–5-year Breast Cancer Risk Prediction-Reference-Cited by-同舟云学术

AsymMirai: Interpretable Mammography-based Deep Learning Model for 1–5-year Breast Cancer Risk Prediction

Published:2024-03-01 Issue:3 Volume:310 Page:
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Donnelly Jon¹^ORCID,Moffett Luke¹^ORCID,Barnett Alina Jade¹^ORCID,Trivedi Hari¹^ORCID,Schwartz Fides¹^ORCID,Lo Joseph¹^ORCID,Rudin Cynthia¹^ORCID

Affiliation:

1. From the Departments of Computer Science (J.D., L.M., A.J.B., C.R.) and Electrical and Computer Engineering (C.R.), Duke University, 308 Research Dr, LSRC Building D101, Duke Box 90129, Durham, NC 27708; Department of Radiology and Imaging Services, Emory University, Atlanta, Ga (H.T.); Department of Radiology, Harvard University, Cambridge, Mass (F.S.); and Department of Radiology, Duke University School of Medicine, Durham, NC (J.L.).

Funder

National Science Foundation

Publisher

Radiological Society of North America (RSNA)

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.232780

Reference21 articles.

1. Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement

2. On instabilities of deep learning in image reconstruction and the potential costs of AI

3. Projecting Individualized Probabilities of Developing Breast Cancer for White Females Who Are Being Examined Annually

4. BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors

5. A breast cancer prediction model incorporating familial and personal risk factors

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Assessing breast disease with deep learning model using bimodal bi-view ultrasound images and clinical information;iScience;2024-07

2. Artificial Intelligence-Powered Imaging Biomarker Based on Mammography for Breast Cancer Risk Prediction;Diagnostics;2024-06-07