Application of convolutional neural networks for distal radio-ulnar fracture detection on plain radiographs in the emergency room

Application of convolutional neural networks for distal radio-ulnar fracture detection on plain radiographs in the emergency room

Objective Recent studies have suggested that deep-learning models can satisfactorily assist in fracture diagnosis. We aimed to evaluate the performance of two of such models in wrist fracture detection. Methods We collected image data of patients who visited with wrist trauma at the emergency depart...

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Bibliographic Details
Main Authors: Min Woong Kim, Jaewon Jung, Se Jin Park, Young Sun Park, Jeong Hyeon Yi, Won Seok Yang, Jin Hyuck Kim, Bum-Joo Cho, Sang Ook Ha
Format: Article
Language:English
Published: The Korean Society of Emergency Medicine 2021-06-01
Series:Clinical and Experimental Emergency Medicine
Subjects:
wrist
fractures, bone
deep learning
neural networks, computer
Online Access:http://ceemjournal.org/upload/pdf/ceem-20-091.pdf

Internet

http://ceemjournal.org/upload/pdf/ceem-20-091.pdf

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