Machine Learning in the Classification of Pediatric Posterior Fossa Tumors: A Systematic Review.

Yearley, Alexander G; Blitz, Sarah E; Patel, Ruchit V; Chan, Alvin; Baird, Lissa C; Friedman, Gregory K; Arnaout, Omar; Smith, Timothy R; Bernstock, Joshua D

Yearley, Alexander G; Blitz, Sarah E; Patel, Ruchit V; Chan, Alvin; Baird, Lissa C; Friedman, Gregory K; Arnaout, Omar; Smith, Timothy R; Bernstock, Joshua D.

Afiliação

Yearley AG; Harvard Medical School, Boston, MA 02115, USA.
Blitz SE; Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Patel RV; Harvard Medical School, Boston, MA 02115, USA.
Chan A; Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Baird LC; Harvard Medical School, Boston, MA 02115, USA.
Friedman GK; Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Arnaout O; Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Smith TR; Division of Gastroenterology, Hepatology and Endoscopy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Bernstock JD; Department of Neurosurgery, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.

Cancers (Basel) ; 14(22)2022 Nov 15.

Article em En | MEDLINE | ID: mdl-36428701

Palavras-chave

artificial intelligence (AI); machine learning; neuro-oncology; neuroradiology; posterior fossa tumor(s)

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Screening_studies / Systematic_reviews Idioma: En Revista: Cancers (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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