Multispectral analysis of magnetic resonance images.

By M. Vannier, R. L. Butterfield, D. Jordan, W. A. Murphy, R. Levitt, M. Gado. 1985

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Current methods in medical image segmentation. (2000, methodology): “Being noniterative, classifiers are relatively computationally efficient, and, unlike thresholding methods, they can be applied to multichannel images (54).”
Tissue Classification Based on 3D Local Intensity Structures for Volume Rendering (2000, methodology): “In the medical field, vector-valued MR volume data acquired with different imaging protocols have been used for multichannel classifiers [ 6 ], [7].”
Imaging Intratumor Heterogeneity: Role in Therapy Response, Resistance, and Clinical Outcome (2014, background): “A classifier then groups individual voxels together based on their similarities and differences (66).”
Multispectral analysis of the brain using magnetic resonance imaging (1994, background): “During the last few years, several studies on the automatic recognition of the normal tissues in the brain and its surrounding structures have been published [31, [9], [lo], ill], [181, 1251, [271, [311, [46], [47].”
An Open Source Multivariate Framework for n-Tissue Segmentation with Evaluation on Public Data (2011, methodology): “Posterior formulation: The user may choose to estimate the mixture proportions (or not) by setting -p Socrates[1] or -p Socrates[0].”