Skip to main content

Table 2 Performance of the discriminations for spectral fitting (SF) [7], intra-class correlation (ICC) [9, 10], and the spatio-spectral mean-shift (SSM-S) algorithm, considering two evaluation criteria: the percentage of well-clustered pixels (where WCP is the value) and the Dice similarity coefficient (DSC)

From: Spatial and spectral regularization to discriminate tissues using multispectral photoacoustic imaging

Dataset Desired discrimination Normalization WCP (%) DSC
    SF ICC SSM-S SF ICC SSM-S
Liver Fresh/stale No 95 76 100 0.91 0.63 0.87
Blood and ink None (concentrations) Yes 86 87 98 0.86 0.87 0.98
Blood and ink Concentrations No 77 34 99 0.77 0.34 0.97