Radiographic Analysis of Scoliosis Using Convolutional Neural Network in Clinical Practice

Radiographic Analysis of Scoliosis Using Convolutional Neural Network in Clinical Practice

Purpose To assess the reliability and accuracy of an automated Cobb angle measurement (ACAM) using a convolutional neural network (CNN) for scoliosis evaluation and to compare measurement times. Materials and Methods ACAM was applied to spine radiographs in 411 patients suspected of scoliosis. O...

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Bibliographic Details
Main Authors: Ha Yun Oh, Tae Kun Kim, Yun Sun Choi, Mira Park, Ra Gyoung Yoon, Jin Kyung An
Format: Article
Language:English
Published: The Korean Society of Radiology 2024-09-01
Series:Journal of the Korean Society of Radiology
Subjects:
scoliosis
cobb angle
convolutional neural network
radiography
Online Access:https://doi.org/10.3348/jksr.2023.0111

Internet

https://doi.org/10.3348/jksr.2023.0111

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