Quality of clinical brain tumor MR spectra judged by humans and machine learning tools.

Journal: Magnetic resonance in medicine

Published Date: Oct 10, 2017

PURPOSE: To investigate and compare human judgment and machine learning tools for quality assessment of clinical MR spectra of brain tumors.

Sreenath P Kyathanahally

Departments of Radiology and Clinical Research, University of Bern, Bern, Switzerland.
Victor Mocioiu

Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Cerdanyola del Vallès, Spain.
Nuno Pedrosa de Barros

Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland.
Johannes Slotboom

DRNN, Institute of Diagnostic and Interventional Neuroradiology/SCAN, University Hospital Bern, Bern, Switzerland.
Alan J Wright

CRUK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom.
Margarida Julià-Sapé

Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Cerdanyola del Vallès, Spain.
Carles Arús

Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Cerdanyola del Vallès, Spain.
Roland Kreis

Departments of Radiology and Clinical Research, University of Bern, Bern, Switzerland.

Algorithms Brain Brain Neoplasms Humans Image Interpretation, Computer-Assisted Machine Learning Magnetic Resonance Imaging Quality Control

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