Deep Learning Lends a Hand to Pediatric Radiology-Reference-Cited by-同舟云学术

Deep Learning Lends a Hand to Pediatric Radiology

Published:2018-04 Issue:1 Volume:287 Page:323-325
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Summers Ronald M.¹^ORCID

Affiliation:

1. From the Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Building 10, Room 1C224D, MSC 1182, Bethesda, MD 20892-1182.

Funder

National Institutes of Health

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2018172898

Reference10 articles.

1. Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

2. Dermatologist-level classification of skin cancer with deep neural networks

3. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

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

5. Bone age assessment: automated techniques coming of age?

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