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get_fdata
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I have dicom files to auto segment using atlas and CNN approach. I’m looking to measure correspondence between these automatic contours and manual contours created by experts. Kindly advise what techniques are best
-Hausdoff distance
-structural similarity index (SSIM)
-Bidirectional local distance measurement (BLD)
-Mean square errors (MSE)
-Dice similarity coefficient
-Distance transforms
Please advise if there are any I haven’t listed and which ones are best for the operation I want to carry out.
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from matplotlib import pyplot as plt
from skimage.draw import disk
fig, axes = plt.subplots(1, 2)
for ax, shape in zip(axes, [None, (10, 10)]):
img = np.zeros((10, 10), dtype=np.uint8)
rr, cc = disk((1, 1), 5, shape=shape)
img[rr, cc] = 1
ax.imshow(img)
(8,8)
give me a partial part of it?