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Temporal Feature Extraction from DCE-MRI to Identify Poorly Perfused Subvolumes of Tumors Related to Outcomes of Radiation Therapy in Head and Neck Cancer

This study aimed to develop an automated model to extract temporal features from DCE-MRI in head-and-neck (HN) cancers to localize significant tumor subvolumes having low blood volume (LBV) for predicting local and regional failure after chemoradiation therapy. Temporal features were extracted from...

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Detalles Bibliográficos
Autores principales:	You, Daekeun, Aryal, Madhava, Samuels, Stuart E., Eisbruch, Avraham, Cao, Yue
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Grapho Publications, LLC 2016
Materias:	Research Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5243121/ https://www.ncbi.nlm.nih.gov/pubmed/28111634 http://dx.doi.org/10.18383/j.tom.2016.00199

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