Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs-Reference-Cited by-同舟云学术

Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs

Published:2018-04 Issue:1 Volume:287 Page:313-322
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Larson David B.¹,Chen Matthew C.¹,Lungren Matthew P.¹,Halabi Safwan S.¹,Stence Nicholas V.¹,Langlotz Curtis P.¹

Affiliation:

1. From the Departments of Radiology (D.B.L., M.P.L., S.S.H., C.P.L.), Computer Science (M.C.C.), and Biomedical Informatics (C.P.L.), Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA 94305-5105; and Department of Radiology, Children’s Hospital Colorado, Aurora, Colo (N.V.S.).

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2017170236

Reference29 articles.

1. Deep learning

2. Implementing Machine Learning in Radiology Practice and Research

3. Machine Learning for Medical Imaging

4. Breast Tissue Segmentation and Mammographic Risk Scoring Using Deep Learning

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