Artificial neural network-assisted prediction of radiobiological indices in head and neck cancer

Artificial neural network-assisted prediction of radiobiological indices in head and neck cancer

Background and purposeWe proposed an artificial neural network model to predict radiobiological parameters for the head and neck squamous cell carcinoma patients treated with radiation therapy. The model uses the tumor specification, demographics, and radiation dose distribution to predict the tumor...

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Bibliographic Details
Main Authors: Saad Bin Saeed Ahmed, Shahzaib Naeem, Agha Muhammad Hammad Khan, Bilal Mazhar Qureshi, Amjad Hussain, Bulent Aydogan, Wazir Muhammad
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Artificial Intelligence
Subjects:
tumor control probability
normal tissue complication probability
head and neck cancer
artificial neural network
radiation therapy
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2024.1329737/full

Internet

https://www.frontiersin.org/articles/10.3389/frai.2024.1329737/full

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