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Automated estimation of tumor probability in prostate magnetic resonance spectroscopic imaging: pattern recognition vs. quantification

机译：前列腺磁共振光谱成像中肿瘤概率的自动估计：模式识别与量化

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B. Michael Kelm; Bjoern H. Menze; Christian M. Zechmann; Klaus T. Baudendistel; Fred A. Hamprecht; Fred Hamprecht;
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年度 2014
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1. Automated estimation of tumor probability in prostate magnetic resonance spectroscopic imaging: pattern recognition vs quantification. [J] . Kelm BM, Menze BH, Zechmann CM, Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine . 2007,第1期

机译：前列腺磁共振波谱成像中肿瘤概率的自动估计：模式识别与定量。
2. Magnetic resonance spectroscopic imaging (1H-MRSI) and dynamic contrast-enhanced magnetic resonance (DCE-MRI): pattern changes from inflammation to prostate cancer. [J] . Sciarra A, Panebianco V, Ciccariello M, Cancer investigation . 2010,第4期

机译：磁共振波谱成像（1H-MRSI）和动态对比度增强磁共振（DCE-MRI）：从炎症到前列腺癌的模式变化。
3. Supervised pattern recognition for the prediction of contrast-enhancement appearance in brain tumors from multivariate magnetic resonance imaging and spectroscopy [J] . Michael C. Lee, Sarah J. Nelson Artificial intelligence in medicine . 2008,第1期

机译：监督模式识别，用于通过多元磁共振成像和光谱学预测脑肿瘤中增强对比的外观
4. Classification of phosphorus magnetic resonance spectroscopic imaging of brain tumors using support vector machine and logistic regression at 3T [C] . Er Fusun Citak, Hatay Gokce Hale, Okeer Emre, Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 2014

机译：支持向量机和3T Logistic回归对脑肿瘤的磷磁共振波谱成像分类
5. Statistical estimation and pattern recognition methods for robust segmentation of magnetic resonance images (Medical imaging). [D] . Pham, Dzung Luu. 1999

机译：用于磁共振图像鲁棒分割的统计估计和模式识别方法（医学成像）。
6. Supervised pattern recognition for the prediction of contrast-enhancement appearance in brain tumors from multivariate magnetic resonance imaging and spectroscopy [O] . Michael C. Lee, Sarah J. Nelson -1

机译：监督模式识别用于通过多元磁共振成像和光谱学预测脑肿瘤中增强对比的外观
7. Machine Based Rejection of Low-Quality Spectra, and estimation of brain tumor probabilities from magnetic resonance spectroscopic images [O] . Bjoern H. Menze, B. Michael Kelm, Daniel Heck, 2006

机译：基于机器的低质量光谱抑制和磁共振光谱图像估计脑肿瘤概率

Automated estimation of tumor probability in prostate magnetic resonance spectroscopic imaging: pattern recognition vs. quantification

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