Deep Learning for <scp>FAST</scp> Quality Assessment-Reference-Cited by-同舟云学术

Deep Learning for FAST Quality Assessment

Published:2022-06-30 Issue:1 Volume:42 Page:71-79
ISSN:0278-4297
Container-title:Journal of Ultrasound in Medicine
language:en
Short-container-title:J of Ultrasound Medicine

Author:

Taye Mesfin¹²,Morrow Dustin³,Cull John⁴,Smith Dane Hudson⁵,Hagan Martin⁶^ORCID

Affiliation:

1. School of Electrical and Computer Engineering Oklahoma State University Stillwater OK USA

2. IBM, IBM Cloud Armonk New York USA

3. Prisma Health, Department of Emergency Medicine, Division Chief of Emergency Ultrasound University of South Carolina, School of Medicine Greenville Greenville SC USA

4. Prisma Health University of South Carolina School of Medicine‐Greenville Greenville SC USA

5. Holcombe Department of Electrical Engineering, Watt Family Innovation Center Clemson University Clemson SC USA

6. Oklahoma State University School of Electrical and Computer Engineering Stillwater OK USA

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jum.16045

Reference20 articles.

1. AIUM Practice Guideline for the Performance of the Focused Assessment With Sonography for Trauma (FAST) Examination

2. The Core Content of Clinical Ultrasonography Fellowship Training

3. Point-of-Care Ultrasound in Established Settings

4. Variation in training and use of the focused assessment with sonography in trauma (FAST)

5. POLICY STATEMENT Ultrasound Guidelines:Emergency point‐of‐care and clinical ultrasound guidelines in medicine. Published online2016.

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