Applications of Deep Learning in Trauma Radiology: A Narrative Review-Reference-Cited by-同舟云学术

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Applications of Deep Learning in Trauma Radiology: A Narrative Review

Published:2024-04 Issue: Volume: Page:100743
ISSN:2319-4170
Container-title:Biomedical Journal
language:en
Short-container-title:Biomedical Journal

Author:

Cheng Chi-Tung^ORCID,Ooyang Chun-Hsiang,Kang Shih-Ching,Liao Chien-Hung

Funder

Chang Gung Memorial Hospital

National Science and Technology Council

Taiwan Ministry of Science and Technology

Ministry of Science and Technology

Ministry of Science and Technology, Taiwan

Publisher

Elsevier BV

Reference100 articles.

1. A survey of ASER members on artificial intelligence in emergency radiology: trends, perceptions, and expectations;Agrawal;Emerg Radiol,2023

2. Recent advances and clinical applications of deep learning in medical image analysis;Chen;Med Image Anal,2022

3. Automatic hemorrhage segmentation on head CT scan for traumatic brain injury using 3D deep learning model;Inkeaw;Comput Biol Med,2022

4. Wasserthal J, Meyer M, Breit H-C, Cyriac J, Yang S, Segeroth M. TotalSegmentator: robust segmentation of 104 anatomical structures in CT images. arXiv [eessIV] 2022.

5. Artificial intelligence CAD tools in trauma imaging: a scoping review from the American Society of Emergency Radiology (ASER) AI/ML Expert Panel;Dreizin;Emerg Radiol,2023

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1. Easily missed pathologies of the musculoskeletal system in the emergency radiology setting;RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren;2024-08-02

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