image-analysis-workflows
There are 15 repositories under image-analysis-workflows topic.
Cardiac-MR-Group-Lund/segment-open
Segment Source Distribution
ciccalab/SIMPLI
SIMPLI is a highly configurable pipeline for the analysis of multiplexed imaging data.
MontpellierRessourcesImagerie/imagej_macros_and_scripts
ImageJ macros and scripts written at the imaging facility MRI
tlnagy/OMETIFF.jl
I/O operations for OME-TIFF files in Julia
crud89/Texturize
A unified framework for example-based texture synthesis, developed alongside my master's thesis.
waliens/sldc
An open-source Python framework created for accelerating development of large image analysis workflows
hansenjn/MotiQ
A set of ImageJ plugins to quantify dynamics, morphology, and fluorescence of microglial cells.
PathologyDataScience/MatDigitalPathology
Matlab functions to support analysis of digital pathology images.
Quantitative-Big-Imaging/Quantitative-Big-Imaging-2017
The material for the Quantitative Big Imaging Course at ETHZ for Spring Semester 2017
AriChow/image_analysis_toolbox
Toolbox for image analysis pipeline (image pre-processing, feature extraction, feature preprocessing, dimensionality reduction, classification, clustering and regression). Powered by sklearn and other python libraries.
ggirelli/pygpseq
Python3 package to analyse GPSeq images and manage TIFF files.
jonasoh/AuTToFlux
Pipeline for high-throughput analysis of RFP/GFP ratios in vacuoles
ogemarques/python-matlab
Example of how to integrate MATLAB apps into a Python deep learning workflow for computer vision and image analysis tasks.
rjrahul24/cnn-logistic-image-analysis
We build upon Logistic Regression concepts and create a Deep Learning Convolution Neural Network. This repository explains how Logistic Regression is really the root of building Multilayer Perceptron models for Machine Learning and Deep Learning.