Login / Signup
XEdgeConv: Leveraging graph convolutions for efficient, permutation- and rotation-invariant dense 3D medical image segmentation.
Christian Weihsbach
Lasse Hansen
Mattias P. Heinrich
Published in:
GeoMedIA (2022)
Keyphrases
</>
rotation invariant
texture classification
scale invariance
rotation invariance
texture analysis
zernike moments
graph matching
thinning algorithm
texture image retrieval
dominant orientation
pattern recognition
scale space
background subtraction
fourier transform
texture images
steerable filters