Real-Time Prediction of Transarterial Drug Delivery Based on a Deep Convolutional Neural Network

Real-Time Prediction of Transarterial Drug Delivery Based on a Deep Convolutional Neural Network

This study develops a data-driven reduced-order model based on a deep convolutional neural network (CNN) for real-time and accurate prediction of the drug trajectory and concentration field in transarterial chemoembolization therapy to assist in directing the drug to the tumor site. The convolutiona...

Full description

Bibliographic Details
Main Authors: Xin-Yi Yuan, Yue Hua, Nadine Aubry, Mansur Zhussupbekov, James F. Antaki, Zhi-Fu Zhou, Jiang-Zhou Peng
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
chemoembolization
transarterial drug delivery
reduced-order model
convolution neural networks
deep learning
concentration field reconstruction
Online Access:https://www.mdpi.com/2076-3417/12/20/10554

Internet

https://www.mdpi.com/2076-3417/12/20/10554

Similar Items