Synonyms
Gaussian filtering
Gaussian blurring
Gaussian smoothing
Blurring

Pixel classification for GlaS challenge with UNet

Description

This workflow segments glands from H&E stained histopathological images
from the Gland Segmentation Challenge (GlaS2015) using deep learning (UNet).
UNet implementation largely inspired from PyTorch-UNet by Milesial. 

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Nuclei Segmentation (Python)

Description

This workflow processes images of cells with discernible nuclei and outputs a binary mask containing where nuclei are detected.

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Filament Tracing (ImageJ)

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Nuclei Segmentation 3D (ImageJ)

Description

The macro will segment nuclei and separate clustered nuclei in a 3D image using a binary watershed. As a result an index-mask image is written for each input image.

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Gaussian Blur 3D (ImageJ)

Description

Performs 3D Gaussian blurring.

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clij - GPU-acceleration for ImageJ

Description

clij is an ImageJ/Fiji plugin allowing you to run GPU-accelerated code from within Fijis script editor (e.g. macro and jython). CLIJ is based on ClearCLImglib2 and SciJava. It contains components for image filtering, thresholding, spatial transforms, projections, binary image processing and basic signal measurements.

MIPAV

Description

The MIPAV (Medical Image Processing, Analysis, and Visualization) application enables quantitative analysis and visualization of medical images of numerous modalities such as PET, MRI, CT, or microscopy. Using MIPAV's standard user-interface and analysis tools, researchers at remote sites (via the internet) can easily share research data and analyses, thereby enhancing their ability to research, diagnose, monitor, and treat medical disorders.

NeuriteTracer

Description

"The plugin analyzes fluorescence microscopy images of neurites and nuclei of dissociated cultured neurons. Given user-defined thresholds, the plugin counts neuronal nuclei, and traces and measures neurite length."[...]" NeuriteTracer is a fast simple-to-use ImageJ plugin for the analysis of outgrowth in two-dimensional fluorescence microscopy images of neuronal cultures. The plugin performed well on images from three different types of neurons with distinct morphologies."

This plugin requires parameter setting: Threshold levels and scale (see more details on the related publication)

Filter Toolbox

Description

Provides a selection of spatial, separable and customizable filters in 1D and 2D, with OpenCL implementation if supported.

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