Deep Learning Method for Precise Landmark Identification and Structural Assessment of Whole-Spine Radiographs

This study measured parameters automatically by marking the point for measuring each parameter on whole-spine radiographs. Between January 2020 and December 2021, 1017 sequential lateral whole-spine radiographs were retrospectively obtained. Of these, 819 and 198 were used for training and testing t...

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Autors principals:	Sung Hyun Noh, Gaeun Lee, Hyun-Jin Bae, Ju Yeon Han, Su Jeong Son, Deok Kim, Jeong Yeon Park, Seung Kyeong Choi, Pyung Goo Cho, Sang Hyun Kim, Woon Tak Yuh, Su Hun Lee, Bumsoo Park, Kwang-Ryeol Kim, Kyoung-Tae Kim, Yoon Ha
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-05-01
Col·lecció:	Bioengineering
Matèries:	artificial intelligence deep learning radiography spine
Accés en línia:	https://www.mdpi.com/2306-5354/11/5/481
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