A Self-Attention-Guided 3D Deep Residual Network With Big Transfer to Predict Local Failure in Brain Metastasis After Radiotherapy Using Multi-Channel MRI

A Self-Attention-Guided 3D Deep Residual Network With Big Transfer to Predict Local Failure in Brain Metastasis After Radiotherapy Using Multi-Channel MRI

A noticeable proportion of larger brain metastases (BMs) are not locally controlled after stereotactic radiotherapy, and it may take months before local progression is apparent on standard follow-up imaging. This work proposes and investigates new explainable deep-learning models to predict the radi...

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Bibliographic Details
Main Authors: Seyed Ali Jalalifar, Hany Soliman, Arjun Sahgal, Ali Sadeghi-Naini
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Attention mechanism
brain metastasis
deep learning
stereotactic radiotherapy
therapy outcome prediction
Online Access:https://ieeexplore.ieee.org/document/9938981/

Internet

https://ieeexplore.ieee.org/document/9938981/

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