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Multispectral texture characterization: application to computer aided diagnosis on prostatic tissue images

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Figure

Figure 1 Flattening matrices of a third order tensor [52].
Figure 4 The two sub-tensors A, Bextracted from the tensor data Xfor each direction θ
Figure 5 Images showing representative samples of the four classes. (a) Stroma, (b) BPH, (c) PIN, (d) PCa.
Figure 6 Classification procedure.
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