Predicting 3D soft tissue dynamics from 2D imaging using physics informed neural networks

Tissue dynamics play critical roles in many physiological functions and provide important metrics for clinical diagnosis. Capturing real-time high-resolution 3D images of tissue dynamics, however, remains a challenge. This study presents a hybrid physics-informed neural network algorithm that infers...

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Detalles Bibliográficos
Autores principales: Movahhedi, Mohammadreza, Liu, Xin-Yang, Geng, Biao, Elemans, Coen, Xue, Qian, Wang, Jian-Xun, Zheng, Xudong
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/PMC10199019/
https://www.ncbi.nlm.nih.gov/pubmed/37208428
http://dx.doi.org/10.1038/s42003-023-04914-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199019/
https://www.ncbi.nlm.nih.gov/pubmed/37208428
http://dx.doi.org/10.1038/s42003-023-04914-y

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