Table 1.
The 30 highly discriminative features of frontal lobe, brain stem, hippocampus, and amygdala.
| Feature types | Frontal lobe | Brain stem | Hippocampus | Amygdala |
|---|---|---|---|---|
| Histogram-based | Perc. 99%, Perc. 10%, Perc. 01%, mean, Perc. 90%, Perc. 50%, variance | Variance, Perc. 99%, Perc. 90% | Mean, Perc. 10%, Perc. 50%, Perc. 99%, Perc. 01%, Perc. 90% | Perc. 90%, Perc. 99%, kurtosis |
|
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| Gradient-based | GrKurtosis | GrSkewness | ||
| GrSkewness | ||||
|
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| Runlength matrix-based | Horzl_ShrtREmp, Horzl_LngREmph, Horzl_Fraction | |||
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| Co-occurrence matrix-derived | S(3, 0) InvDfMom, S(2, -2) entropy, S(3, 0)entropy, S(4, 0) entropy, S(2, 0) entropy, S(4, 0) InvDfMom, S(5,0)entropy, S(2, 0) InvDfMom, S(3, -3) entropy, S(5,0) InvDfMom | S(1, -1) AngScMom, S(0, 2) AngScMom, S(1, 1) AngScMom, S(1, 1) entropy, S(1, -1) entropy, S(1, 0) entropy, S(0, 3) entropy, S(0, 5) entropy, S(0, 1) AngScMom, S(2, 0) entropy, S(0, 1) entropy, S(1, 0) AngScMom, S(0, 1) SumOfSqs, S(0, 5) AngScMom, S(2, 0) AngScMom, S(3, 0) AngScMom, S(0, 2) entropy, S(0, 4) entropy, S(2, -2) entropy, S(3, -3) entropy, S(2, 2) entropy, S(3, 0) entropy, S(4, 0) entropy, S(3, 3) entropy, S(4, -4) entropy, S(4, 4) entropy | S(1, 1) SumEntrp, S(1, 0) SumEntrp, S(2, 0) SumEntrp, S(0, 3) SumEntrp, S(2, -2) SumEntrp, S(0, 3) SumVarnc, S(3, 0) SumEntrp, S(4, 0) SumEntrp, S(4, 4) SumAverg, S(1, -1) SumVarnc, S(5, 5) SumEntrp, S(5, 0) SumAverg, S(5, -5) SumEntrp, S(1, -1) SumEntrp, S(2, 2) SumEntrp, S(0, 1) SumEntrp, S(0, 1) SumAverg, S(1, -1) SumAverg, S(2, 2) SumAverg, S(3, 3) SumEntrp, S(1, 1) SumAveg | S(1, 0) SumVarnc, S(2, 0) SumVarnc, S(1, 0) DifVarnc, S(2, 0) Correlat, S(3, 0) Correlat, S(4, 0) DifVarnc, S(1, 0) Correlat, S(5, -5) SumEntrp, S(3, 0) SumVarnc, S(5, 5) DifEntrp, S(3, 3) SumOfSqs, S(0, 2) SumOfSqs, S(3, -3) DifEntrp, S(3, 0) DifVarnc, S(1, 0) SumOfSqs, S(1, -1) SumVarnc, S(2, 2) SumOfSqs, S(2, 2) DifEntrp, S(0, 4) DifEntrp, S(0 ,5) DifEntrp, S(4, 4) DifEntrp, S(2, 0) DifVarnc, S(0, 3) DifEntrp |
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| Wavelet | WavEnLH_s-2, WavEnLH_s-1, WavEnLL_s-5, WavEnLH_s-4, WavEnLL_s-4, WavEnHH_s-1, WavEnLL_s-3 | WavEnLL_s-3, WavEnLL_s-2, WavEnLL_s-1 | WavEnHH_s-1 | |
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| Autoregressive model | Teta2 | Teta3 | Teta1, sigma | |