Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities.

Merkaj, Sara; Bahar, Ryan C; Zeevi, Tal; Lin, MingDe; Ikuta, Ichiro; Bousabarah, Khaled; Cassinelli Petersen, Gabriel I; Staib, Lawrence; Payabvash, Seyedmehdi; Mongan, John T; Cha, Soonmee; Aboian, Mariam S

Merkaj, Sara; Bahar, Ryan C; Zeevi, Tal; Lin, MingDe; Ikuta, Ichiro; Bousabarah, Khaled; Cassinelli Petersen, Gabriel I; Staib, Lawrence; Payabvash, Seyedmehdi; Mongan, John T; Cha, Soonmee; Aboian, Mariam S.

Afiliación

Merkaj S; Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, P.O. Box 208042, New Haven, CT 06520, USA.
Bahar RC; Department of Neurosurgery, University of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany.
Zeevi T; Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, P.O. Box 208042, New Haven, CT 06520, USA.
Lin M; Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, P.O. Box 208042, New Haven, CT 06520, USA.
Ikuta I; Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, P.O. Box 208042, New Haven, CT 06520, USA.
Bousabarah K; Visage Imaging, Inc., 12625 High Bluff Dr, Suite 205, San Diego, CA 92130, USA.
Cassinelli Petersen GI; Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, P.O. Box 208042, New Haven, CT 06520, USA.
Staib L; Visage Imaging, GmbH., Lepsiusstraße 70, 12163 Berlin, Germany.
Payabvash S; Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, P.O. Box 208042, New Haven, CT 06520, USA.
Mongan JT; Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, P.O. Box 208042, New Haven, CT 06520, USA.
Cha S; Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, P.O. Box 208042, New Haven, CT 06520, USA.
Aboian MS; Department of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave., San Francisco, CA 94143, USA.

Cancers (Basel) ; 14(11)2022 May 25.

Article en En | MEDLINE | ID: mdl-35681603

Palabras clave

artificial intelligence; deep learning; glioma; machine learning; reporting quality

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Cancers (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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