Detection of abnormal extraocular muscles in small datasets of computed tomography images using a three-dimensional variational autoencoder

We sought to establish an unsupervised algorithm with a three–dimensional (3D) variational autoencoder model (VAE) for the detection of abnormal extraocular muscles in small datasets of orbital computed tomography (CT) images. 334 CT images of normal orbits and 96 of abnormal orbits diagnosed as thy...

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Detalles Bibliográficos
Autores principales: Chung, Yeon Woong, Choi, In Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889739/
https://www.ncbi.nlm.nih.gov/pubmed/36720904
http://dx.doi.org/10.1038/s41598-023-28082-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889739/
https://www.ncbi.nlm.nih.gov/pubmed/36720904
http://dx.doi.org/10.1038/s41598-023-28082-5

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