Deep Learning of Time-Signal Intensity Curves from Dynamic Susceptibility Contrast Imaging Enables Tissue Labeling and Prediction of Survival in Glioblastoma.

Yun, J; Yun, S; Park, J E; Cheong, E-N; Park, S Y; Kim, N; Kim, H S

Yun, J; Yun, S; Park, J E; Cheong, E-N; Park, S Y; Kim, N; Kim, H S.

Afiliación

Yun J; From the Departments of Convergence Medicine (J.Y., N.K.).
Yun S; Radiology and Research Institute of Radiology (J.Y., J.E.P., N.K., H.S.K.), Asan Medical Center.
Park JE; Department of Radiology (S.Y.), Busan Paik Hospital, Inje University College of Medicine, Busan, Korea.
Cheong EN; Radiology and Research Institute of Radiology (J.Y., J.E.P., N.K., H.S.K.), Asan Medical Center jieunp@gmail.com.
Park SY; Medical Science and Asan Medical Institute of Convergence Science and Technology (E.-N.C.), University of Ulsan College of Medicine, Seoul, Korea.
Kim N; Department of Statistics and Data Science (S.Y.P.), Korea National Open University, Seoul, Korea.
Kim HS; From the Departments of Convergence Medicine (J.Y., N.K.).

AJNR Am J Neuroradiol ; 44(5): 543-552, 2023 05.

Article en En | MEDLINE | ID: mdl-37105676

Asunto(s)

Neoplasias Encefálicas; Aprendizaje Profundo; Glioblastoma; Humanos; Glioblastoma/patología; Neoplasias Encefálicas/patología; Imagen por Resonancia Magnética/métodos; Pronóstico; Estudios Retrospectivos; Medios de Contraste

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Glioblastoma / Aprendizaje Profundo Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: AJNR Am J Neuroradiol Año: 2023 Tipo del documento: Article

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