Feasibility of Simulated Postcontrast MRI of Glioblastomas and Lower-Grade Gliomas by Using Three-dimensional Fully Convolutional Neural Networks.

Calabrese, Evan; Rudie, Jeffrey D; Rauschecker, Andreas M; Villanueva-Meyer, Javier E; Cha, Soonmee

Calabrese, Evan; Rudie, Jeffrey D; Rauschecker, Andreas M; Villanueva-Meyer, Javier E; Cha, Soonmee.

Afiliación

Calabrese E; Department of Radiology and Biomedical Imaging (E.C., J.D.R., A.M.R., J.E.V.M., S.C.) and Center for Intelligent Imaging (E.C.), University of California at San Francisco, 350 Parnassus Ave, Suite 307H, San Francisco, CA 94143-0628.
Rudie JD; Department of Radiology and Biomedical Imaging (E.C., J.D.R., A.M.R., J.E.V.M., S.C.) and Center for Intelligent Imaging (E.C.), University of California at San Francisco, 350 Parnassus Ave, Suite 307H, San Francisco, CA 94143-0628.
Rauschecker AM; Department of Radiology and Biomedical Imaging (E.C., J.D.R., A.M.R., J.E.V.M., S.C.) and Center for Intelligent Imaging (E.C.), University of California at San Francisco, 350 Parnassus Ave, Suite 307H, San Francisco, CA 94143-0628.
Villanueva-Meyer JE; Department of Radiology and Biomedical Imaging (E.C., J.D.R., A.M.R., J.E.V.M., S.C.) and Center for Intelligent Imaging (E.C.), University of California at San Francisco, 350 Parnassus Ave, Suite 307H, San Francisco, CA 94143-0628.
Cha S; Department of Radiology and Biomedical Imaging (E.C., J.D.R., A.M.R., J.E.V.M., S.C.) and Center for Intelligent Imaging (E.C.), University of California at San Francisco, 350 Parnassus Ave, Suite 307H, San Francisco, CA 94143-0628.

Radiol Artif Intell ; 3(5): e200276, 2021 Sep.

Article en En | MEDLINE | ID: mdl-34617027

Palabras clave

Brain/Brain Stem; CNS; Contrast Agents-Intravenous; Convolutional Neural Network; Deep Learning Algorithms; Experimental Investigations; MR-Contrast Agent; MR-Imaging; Machine Learning Algorithms; Neoplasms-Primary; Supervised Learning; Technology Assessment; Transfer Learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials / Health_technology_assessment / Observational_studies Idioma: En Revista: Radiol Artif Intell Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos

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