Brain tumor classification based on long echo proton MRS signals
- 1 May 2004
- journal article
- research article
- Published by Elsevier BV in Artificial Intelligence in Medicine
- Vol. 31 (1), 73-89
- https://doi.org/10.1016/j.artmed.2004.01.001
Abstract
No abstract availableKeywords
This publication has 26 references indexed in Scilit:
- A Chemometric Approach for Brain Tumor Classification Using Magnetic Resonance Imaging and SpectroscopyAnalytical Chemistry, 2003
- Determination of histopathological tumor grade in neuroepithelial brain tumors by using spectral pattern analysis of in vivo spectroscopic dataJournal of Neurosurgery, 2003
- Automated classification of short echo time in in vivo 1H brain tumor spectra: A multicenter studyMagnetic Resonance in Medicine, 2002
- Fuzzy rules to predict degree of malignancy in brain glioma.Medical & Biological Engineering & Computing, 2002
- Magnetic resonance spectroscopy in medicine: clinical impactProgress in Nuclear Magnetic Resonance Spectroscopy, 2001
- Pattern recognition methods and applications in biomedical magnetic resonanceProgress in Nuclear Magnetic Resonance Spectroscopy, 2001
- A new approach for analyzing proton magnetic resonance spectroscopic images of brain tumors: nosologic imagesNature Medicine, 2000
- Towards a method for automated classification of1H MRS spectra from brain tumoursNMR in Biomedicine, 1998
- Clinical MR spectroscopy: fundamentals, current applications, and future potential.American Journal of Roentgenology, 1995
- ROC Analysis Applied to the Evaluation of Medical Imaging TechniquesInvestigative Radiology, 1979