Article ID Journal Published Year Pages File Type
6891112 Computer Methods and Programs in Biomedicine 2018 37 Pages PDF
Abstract
The proposed method is able to derive suitable non-linear features and the related brain regions for effective computer-aided diagnosis. The fuzzy and rough set based approaches help in handling uncertainty and ambiguity in real data.
Keywords
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Physical Sciences and Engineering Computer Science Computer Science (General)
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A novel fuzzy rough selection of non-linearly extracted features for schizophrenia diagnosis using fMRI
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