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Integrating multi-omics information in deep learning architectures for joint actuarial outcome prediction in non-small-cell lung cancer patients after radiation therapy

INTRODUCTION: Novel actuarial deep learning neural network (ADNN) architectures are proposed for joint prediction of radiotherapy outcomes, i.e., radiation pneumonitis (RP) and local control (LC) in stage III non-small-cell lung cancer (NSCLC) patients. Unlike NTCP/TCP models that use dosimetric inf...

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Publicado en:Int J Radiat Oncol Biol Phys
Autores principales: Cui, Sunan, Haken, Randall K. Ten, El Naqa, Issam
Formato: Artigo
Lenguaje:Inglês
Publicado: 2021
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC8180510/
https://ncbi.nlm.nih.gov/pubmed/33539966
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ijrobp.2021.01.042
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