Deep Learning-Assisted Quantitative Measurement of Thoracolumbar Fracture Features on Lateral Radiographs

Deep Learning-Assisted Quantitative Measurement of Thoracolumbar Fracture Features on Lateral Radiographs

Objective This study aimed to develop and validate a deep learning (DL) algorithm for the quantitative measurement of thoracolumbar (TL) fracture features, and to evaluate its efficacy across varying levels of clinical expertise. Methods Using the pretrained Mask Region-Based Convolutional Neural Ne...

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Bibliographic Details
Main Authors: Woon Tak Yuh, Eun Kyung Khil, Yu Sung Yoon, Burnyoung Kim, Hongjun Yoon, Jihe Lim, Kyoung Yeon Lee, Yeong Seo Yoo, Kyeong Deuk An
Format: Article
Language:English
Published: Korean Spinal Neurosurgery Society 2024-03-01
Series:Neurospine
Subjects:
artificial intelligence
deep learning
spinal fractures
spinal injuries
spinal curvatures
radiography
Online Access:http://www.e-neurospine.org/upload/pdf/ns-2347366-683.pdf

Internet

http://www.e-neurospine.org/upload/pdf/ns-2347366-683.pdf

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