| BNU1 | LMU1 | HNU1 | |
|---|---|---|---|
| Original | 0.9336 | 0.7852 | |
| EPIREG | 0.9100 | 0.7604 | |
| MNI-EPI-Template + FLIRT | 0.9210 | 0.7664 | 0.9474 |
| BNU1 | |
|---|---|
| MNI-EPI-Template + FLIRT + FNIRT (No tweaks) | 0.8916 |
| MNI-EPI-Template + FLIRT + FNIRT (MNI152 Config) | 0.7046 |
| MNI-EPI-Template + FLIRT + FNIRT (MNI152 Config + Membrane Energy) | 0.7112 |
| MNI-EPI-Template + FLIRT + FNIRT (Membrane Energy) | 0.7099 |
In [1]:
%matplotlib inline
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
x = [0, 1]
xlabels = ['BNU1', 'LMU1']
orig = [0.9336, 0.7852]
epireg = [0.9100, 0.7604]
mniepiflirt = [0.9210, 0.7664]
mniepiflirtfnirt0 = [0.8916, None]
mniepiflirtfnirt1 = [0.7046, None]
mniepiflirtfnirt2 = [0.7112, None]
mniepiflirtfnirt3 = [0.7099, None]
plt.scatter(x, orig, color='r', label="Original")
plt.scatter(x, epireg, color='b', label ="EPIREG")
plt.scatter(x, mniepiflirt, color='y', label="MNI-EPI-Template + FLIRT")
plt.scatter(x, mniepiflirtfnirt0, label="MNI-EPI-Template + FLIRT + FNIRT (No tweaks)")
plt.scatter(x, mniepiflirtfnirt1, label="MNI-EPI-Template + FLIRT + FNIRT (MNI152 Config)")
plt.scatter(x, mniepiflirtfnirt2, label="MNI-EPI-Template + FLIRT + FNIRT (MNI152 Config + Membrane Energy)")
plt.scatter(x, mniepiflirtfnirt3, label="MNI-EPI-Template + FLIRT + FNIRT (Membrane Energy)")
plt.ylabel("MNR")
plt.xlabel("Dataset")
plt.legend(loc='center', bbox_to_anchor=(1.8,0.5))
plt.title("Discriminability Scores")
plt.xticks(x, xlabels)
plt.show()
In [ ]: