convolution

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convolution

 [kon″vo-lu´shun]
a tortuous irregularity or elevation caused by the infolding of a structure upon itself.
Miller-Keane Encyclopedia and Dictionary of Medicine, Nursing, and Allied Health, Seventh Edition. © 2003 by Saunders, an imprint of Elsevier, Inc. All rights reserved.

con·vo·lu·tion

(kon'vō-lū'shŭn),
1. A coiling or rolling of an organ.
2. Specifically, a gyrus of the cerebral cotex or folia of the cerebellar cortex.
[L. convolutio]
Farlex Partner Medical Dictionary © Farlex 2012

convolution

(kŏn′və-lo͞o′shən)
n.
1. A form or part that is folded or coiled.
2. One of the convex folds of the surface of the brain.

con′vo·lu′tion·al adj.
The American Heritage® Medical Dictionary Copyright © 2007, 2004 by Houghton Mifflin Company. Published by Houghton Mifflin Company. All rights reserved.

convolution

(1) A redundancy or folding of tissue native to an organ. 
(2) Gyrus, brain.
Segen's Medical Dictionary. © 2012 Farlex, Inc. All rights reserved.

convolution

An elevation on the surface of a structure and an infolding of the tissue upon itself
McGraw-Hill Concise Dictionary of Modern Medicine. © 2002 by The McGraw-Hill Companies, Inc.

con·vo·lu·tion

(kon-vŏ-lū'shŭn)
1. A coiling or rolling of an organ.
2. Specifically, a gyrus of the cerebral or cerebellar cortex.
[L. convolutio]
Medical Dictionary for the Health Professions and Nursing © Farlex 2012
References in periodicals archive ?
(b)-(d) are the convolution kernels learned by the single-layer DSAE.
In this case, and are obtained by column-stacking the arrays N x N arrays and B and X, which we denote as b = vec (B) and x = vec(X); and A is defined in terms of the N x N convolution kernel a - [{[a.sub.ij]}.sup.N.sub.i,j] =-N, with some assumed boundary condition.
Under the assumption that the convolution kernel is known, they propose generating an extrapolated image from the blurred one using tiles, which they define as rectangular image blocks that follow certain patterns nearing the edges.
Mask size (pixels) Image 849 1348 1806 2636 Lena 37.26898 34.9823 33.0214 30.23914 Peppers 34.61765 32.1941 30.4215 27.8131 Baboon 32.7125 30.1962 28.43159 25.7326 StillLifeWithApples 32.9604 30.7468 28.9399 26.3172 Barbara 33,43815 31,12731 29,333 26,6095 Egipt 29,94907 27,5565 25,72072 23,0565 Cat fur 32,10376 29,58541 27,61433 25,1814 Fly 30,935 28,547 26,70904 23,9389 Helicopter 35,3284 33,0786 31,32791 28,7093 Lands 30,3642 28,0075 26,2049 23,4996 FIGURE 1: The convolution kernels proposed by Oliviera et al.
Recall that [[upsilon].sub.[OMEGA]] is the convolution kernel appearing in parallel beam tomography.
where [M.sub.j] represents a selection of input maps, "*" indicates the convolution computation; the essence of which is to convolve the convolution kernel w on all the associated feature maps of the layer l - 1; then sum them, together with the bias as the input of the activation function and finally get the output of convolution layer l.
After yielding the segmentation results for each slice, 3D smoothing of the tumor was performed by box filter with 3-dimensional convolution kernel to make segmentation results more natural.
Operation of high pass filter is similar to low pass filter with different convolution kernel. The pixel with uniform intensity remains same after high pass filter operation.
In theory the operator consists of a pair of 3 x 3 convolution kernel as shown below.
For instance, if you set the convolution kernel size to 3, it means that you want to associate a pixel with the 8 points around it (to generate steganalysis feature).
In intensity based motion estimation, the size of Gaussian convolution kernel is assumed to be r x r.
Roberts Cross convolution kernel The amplitude or strength of the edge is: