Justification Automatic brain tumor classification by MRS has been under development for
more than a decade. Nonetheless, to our knowledge, there are no published evaluations of …

The INTERPRET project was a multicentre European collaboration, carried out from 2000 to
2002, which developed a decision‐support system (DSS) for helping neuroradiologists with …

Object To propose the determination of the macromolecular baseline (MMBL) in clinical 1H
MR spectra based on T 1 and T 2 differentiation using 2D fitting in FiTAID, a general Fitting …

AIMS: To evaluate the accuracy of single-voxel Magnetic Resonance Spectroscopy (1H
MRS) as a non-invasive diagnostic aid for paediatric brain tumours in a multi-national study …

The purpose of this study was to evaluate whether single‐voxel 1H MRS could add useful
information to conventional MRI in the preoperative characterisation of the type and grade of …

Despite the success of automated pattern recognition methods in problems of human brain
tumor diagnostic classification, limited attention has been paid to the issue of automated …

Background There are different opinions of the clinical value of MRS of the brain. In selected
materials MRS has demonstrated good results for characterisation of both neoplastic and …

Abstract Background Proton Magnetic Resonance (MR) Spectroscopy (MRS) is a widely
available technique for those clinical centres equipped with MR scanners. Unlike the rest of …

Background SpectraClassifier (SC) is a Java solution for designing and implementing
Magnetic Resonance Spectroscopy (MRS)-based classifiers. The main goal of SC is to allow …

Machine Learning (ML) and related methods have of late made significant contributions to
solving multidisciplinary problems in the field of oncology diagnosis. Human brain tumor …