Magnetic resonance spectroscopy with high-resolution and exact quantification in the presence of noise for improving ovarian cancer detection
type: Item
instance of: scholarly article
title: Magnetic resonance spectroscopy with high-resolution and exact quantification in the presence of noise for improving ovarian cancer detection
zbMATH Open document ID: 1306.92029
author: Dževad Belkić
author: Karen Belkić
publication date: 2013-01-11T00:00:00Z
Mathematics Subject Classification ID: 92C55
zbMATH DE Number: 6124616
zbMATH Keywords: magnetic resonance spectroscopy
zbMATH Keywords: mathematical optimization
zbMATH Keywords: ovarian cancer
zbMATH Keywords: Gaussian noise
MaRDI profile type: Publication
full work available at URL: s10910-012-0049-z
OpenAlex ID: W2081398601
cites work: Q3523757
cites work: Unequivocal disentangling genuine from spurious information in time signals: clinical relevance in cancer diagnostics through magnetic resonance spectroscopy
cites work: The general concept of signal-noise separation (SNS): mathematical aspects and implementation in magnetic resonance spectroscopy
cites work: Mathematical modeling of an NMR chemistry problem in ovarian cancer diagnostics
cites work: The potential for practical improvements in cancer diagnostics by mathematically-optimized magnetic resonance spectroscopy
DOI: 10.1007/S10910-012-0049-Z
published in: Journal of Mathematical Chemistry
description: scientific article; zbMATH DE number 6124616