A Minimum Spanning Forest-Based Method for Noninvasive Cancer Detection With Hyperspectral Imaging

IEEE Transactions on Biomedical Engineering(2016)

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摘要
Goal: The purpose of this paper is to develop a classification method that combines both spectral and spatial information for distinguishing cancer from healthy tissue on hyperspectral images in an animal model. Methods: An automated algorithm based on a minimum spanning forest (MSF) and optimal band selection has been proposed to classify healthy and cancerous tissue on hyperspectral images. A su...
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关键词
Hyperspectral imaging,Support vector machines,Cancer,Classification algorithms,Imaging,Mutual information,Vegetation
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