Urinary Stone Detection on CT Images Using Deep Convolutional Neural Networks: Evaluation of Model Performance and Generalization-Reference-Cited by-同舟云学术

Urinary Stone Detection on CT Images Using Deep Convolutional Neural Networks: Evaluation of Model Performance and Generalization

Published:2019-07 Issue:4 Volume:1 Page:e180066
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Parakh Anushri¹^ORCID,Lee Hyunkwang¹^ORCID,Lee Jeong Hyun¹^ORCID,Eisner Brian H.¹,Sahani Dushyant V.¹^ORCID,Do Synho¹^ORCID

Affiliation:

1. From the Departments of Radiology (A.P., H.L., J.H.L., D.V.S., S.D.) and Urology (B.H.E.), Massachusetts General Hospital, 55 Fruit St, White 270, Boston, MA 02114; and John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Mass (H.L.).

Publisher

Radiological Society of North America (RSNA)

Subject

General Medicine

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.2019180066

Reference36 articles.

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2. Radiological Imaging of Patients With Suspected Urinary Tract Stones: National Trends, Diagnoses, and Predictors

3. Emergency department visits, use of imaging, and drugs for urolithiasis have increased in the United States

4. Acute Abdomen in the Emergency Department: Is CT a Time-Limiting Factor?

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