Matlab functions to support analysis of digital pathology images.
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Updated
Feb 21, 2017 - MATLAB
Matlab functions to support analysis of digital pathology images.
The material for the Quantitative Big Imaging Course at ETHZ for Spring Semester 2017
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.
A unified framework for example-based texture synthesis, developed alongside my master's thesis.
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.
Python3 package to analyse GPSeq images and manage TIFF files.
Example of how to integrate MATLAB apps into a Python deep learning workflow for computer vision and image analysis tasks.
An open-source Python framework created for accelerating development of large image analysis workflows
Segment Source Distribution
SIMPLI is a highly configurable pipeline for the analysis of multiplexed imaging data.
A set of ImageJ plugins to quantify dynamics, morphology, and fluorescence of microglial cells.
I/O operations for OME-TIFF files in Julia
ImageJ macros and scripts written at the imaging facility MRI
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