Assessment of quantitative artificial neural network analysis in a metabolically dynamicex vivo31p NMR pig liver study-Reference-Cited by-同舟云学术

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Assessment of quantitative artificial neural network analysis in a metabolically dynamicex vivo31p NMR pig liver study

Published:1997-11 Issue:5 Volume:38 Page:840-844
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn. Reson. Med.

Author:

Ala-Korpela Mika,Changani K. K.,Hiltunen Y.,Bell J. D.,Fuller B. J.,Bryant David J.,Taylor-Robinson S. D.,Davidson B. R.

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Reference18 articles.

1. Neural networks: A new method for solving chemical problems or just a passing phase?

2. An Investigation of Tumor1H Nuclear Magnetic Resonance Spectra by the Application of Chemometric Techniques

3. Pattern recognition of31P magnetic resonance spectroscopy tumour spectra obtainedin vivo

4. Reduced lipid contamination in in vivo 1H MRSI using time-domain fitting and neural network classification

5. Computerized Consensus Diagnosis: A Classification Strategy for the Robust Analysis of MR Spectra. I. Application to1H Spectra of Thyroid Neoplasms

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