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It then recognizes tissue structures such as microvascular blood capillaries, hair follicles, sweat glands, and their skin tunnels, etc. based on the ratio of the red and blue components of the acquired image.
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Its drawback is the textures treatment, some of the fine textures of the clean component of the acquired image being erased by the denoising.
So we need to make the harmonization of the denoising uncertainty among the classes of the noise-free component of the acquired image.
First we make the data more uniform with respect to the values of the local variances of the noise-free component of the acquired image.
The classes are obtained segmenting the first result, which represents an estimation of the noise-free component of the acquired image.
Each of them contains estimations of the noise-free component of the acquired image with local variances included into a specified interval.
With the aid of the masks, the classes of the first result can be imposed to the noise-free component of the acquired image.
Specifically, let ({mathbf {p}}_{C} in {mathbb {R}}^{N_d N_{theta }}) be the simulated projections of the disk with a gray value of one, let (overline{{mathbf {p}}} in {mathbb {R}}^{N_{theta }}) be the zero-frequency component of the acquired data along each projection angle, and let (overline{{mathbf {p}}_C} in {mathbb {R}}^{N_{theta }}) be defined similarly.
A significant component of the acquired antibody response to VAR2CSA appears to target polymorphic epitopes [20], many of which are shared between different VAR2CSA alleles due to extensive gene mosaicism [22].
Dendritic cell activation occurs due to the stimulation of TLRs, enabling communication between peripheral and lymphatic tissues; in turn T cells are activated, which is the most important component of the acquired immune system [ 5, 6].
Our data suggest that in patients with neurodegeneration of the occipital cortices, at least one component of the acquired excessive crowding observed can also be regarded as a pre-attentive process that uses averaging to regularize the pathologically noisy representation of feature information in central vision.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com