Localised manifold learning for cardiac image analysis

Abstract

Manifold learning is increasingly being used to discover the underlying structure of medical image data. Traditional approaches operate on whole images with a single measure of similarity used to compare entire images. In this way, information on the locality of differences is lost and smaller trends may be masked by dominant global differences. In this… (More)
DOI: 10.1117/12.911455

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