Development of Cumulative Order-Preserving Image Transformation Based Variational Autoencoder for Anterior Segment Optical Coherence Tomography Images

PURPOSE: To develop a variational autoencoder (VAE) suitable for analysis of the latent structure of anterior segment optical coherence tomography (AS-OCT) images and to investigate possibilities of latent structure analysis of the AS-OCT images. METHODS: We retrospectively collected clinical data a...

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Detalles Bibliográficos
Autores principales: Shon, Kilhwan, Sung, Kyung Rim, Kwak, Jiehoon, Lee, Joo Yeon, Shin, Joong Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9437650/
https://www.ncbi.nlm.nih.gov/pubmed/36040250
http://dx.doi.org/10.1167/tvst.11.8.30

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9437650/
https://www.ncbi.nlm.nih.gov/pubmed/36040250
http://dx.doi.org/10.1167/tvst.11.8.30

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