Improving Computer-aided Detection for Digital Breast Tomosynthesis by Incorporating Temporal Change-Reference-Cited by-同舟云学术

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Improving Computer-aided Detection for Digital Breast Tomosynthesis by Incorporating Temporal Change

Published:2024-09-01 Issue:5 Volume:6 Page:
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Ren Yinhao¹^ORCID,Liang Zisheng¹^ORCID,Ge Jun¹^ORCID,Xu Xiaoming¹^ORCID,Go Jonathan¹,Nguyen Derek L.¹^ORCID,Lo Joseph Y.¹^ORCID,Grimm Lars J.¹^ORCID

Affiliation:

1. From the Departments of Biomedical Engineering (Y.R.), Bioinformatics (X.X.), Radiology (D.L.N., J.Y.L., L.J.G.), and Electrical and Computer Engineering and Biomedical Engineering (J.Y.L.), Duke University, 2424 Erwin Rd, Studio #302, Durham, NC 27705; and iCAD Inc, Nashua, NH (Y.R., Z.L., J. Ge, J. Go).

Publisher

Radiological Society of North America (RSNA)

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.230391

Reference14 articles.

1. Measuring reader fatigue in the interpretation of screening digital breast tomosynthesis (DBT)

2. Deep Learning in Medical Image Analysis

3. International evaluation of an AI system for breast cancer screening

4. Artificial Intelligence for Reducing Workload in Breast Cancer Screening with Digital Breast Tomosynthesis

5. Detecting and classifying lesions in mammograms with Deep Learning

Cited by 1 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. Integrating Clinical Workflow for Breast Cancer Screening with AI;Radiology: Artificial Intelligence;2024-09-01

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