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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Autori principali:	Saad Bin Saeed Ahmed, Shahzaib Naeem, Agha Muhammad Hammad Khan, Bilal Mazhar Qureshi, Amjad Hussain, Bulent Aydogan, Wazir Muhammad
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2024-04-01
Serie:	Frontiers in Artificial Intelligence
Soggetti:	tumor control probability normal tissue complication probability head and neck cancer artificial neural network radiation therapy
Accesso online:	https://www.frontiersin.org/articles/10.3389/frai.2024.1329737/full
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Artificial neural network-assisted prediction of radiobiological indices in head and neck cancer

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