we peresent full pakage of the methods that apply rough set theory in the context of segmentation (or partitioning) of multichannel medical imaging data. We put this approach into a semi-automatic framework, where the user specifies the classes

fastica算法，信号盲分离，专用于多通道混合数据的分离(FastICA algorithm, blind separation of signals, for the separation of multichannel mixed data)