Radiomics-Based Machine Learning Classification for Glioma Grading Using Diffusion- and Perfusion-Weighted Magnetic Resonance Imaging.

Hashido, Takashi; Saito, Shigeyoshi; Ishida, Takayuki

Hashido, Takashi; Saito, Shigeyoshi; Ishida, Takayuki.

Affiliation

Saito S; Department of Medical Physics and Engineering, Division of Health Sciences, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Ishida T; Department of Medical Physics and Engineering, Division of Health Sciences, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.

J Comput Assist Tomogr ; 45(4): 606-613, 2021.

Article in En | MEDLINE | ID: mdl-34270479

Subject(s)

Brain Neoplasms/diagnostic imaging; Brain Neoplasms/pathology; Diffusion Magnetic Resonance Imaging/methods; Glioma/diagnostic imaging; Glioma/pathology; Machine Learning; Magnetic Resonance Angiography/methods; Adult; Brain/diagnostic imaging; Brain/pathology; Female; Humans; Image Interpretation, Computer-Assisted/methods; Male; Middle Aged; Neoplasm Grading; Retrospective Studies

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain Neoplasms / Magnetic Resonance Angiography / Diffusion Magnetic Resonance Imaging / Machine Learning / Glioma Type of study: Observational_studies / Prognostic_studies Limits: Adult / Female / Humans / Male / Middle aged Language: En Journal: J Comput Assist Tomogr Year: 2021 Type: Article

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