Cargando…
Key-Point Detection Algorithm of Deep Learning Can Predict Lower Limb Alignment with Simple Knee Radiographs
(1) Background: There have been many attempts to predict the weight-bearing line (WBL) ratio using simple knee radiographs. Using a convolutional neural network (CNN), we focused on predicting the WBL ratio quantitatively. (2) Methods: From March 2003 to December 2021, 2410 patients with 4790 knee A...
Autores principales: | Nam, Hee Seung, Park, Sang Hyun, Ho, Jade Pei Yuik, Park, Seong Yun, Cho, Joon Hee, Lee, Yong Seuk |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9959348/ https://www.ncbi.nlm.nih.gov/pubmed/36835990 http://dx.doi.org/10.3390/jcm12041455 |
Ejemplares similares
-
Association Between Tunnel Position, Tunnel Angle, Graft Signal Intensity, and Graft Thickness in the Reconstructed Posterior Cruciate Ligament
por: Park, Seong Yun, et al.
Publicado: (2023) -
Coronal Alignment of the Lower Limb and the Incidence of Constitutional Varus Knee in Korean Females
por: Song, Moo-Ho, et al.
Publicado: (2015) -
Effect of limb rotation on radiographic alignment measurement in mal-aligned knees
por: Sun, Xiaoshu, et al.
Publicado: (2021) -
Errata to "Coronal Alignment of the Lower Limb and the Incidence of Constitutional Varus Knee in Korean Females"
por: Song, Moo-Ho, et al.
Publicado: (2015) -
Influence of axial limb rotation on radiographic lower limb alignment: a systematic review
por: Ahrend, Marc-Daniel, et al.
Publicado: (2021)