GitHub

Mistic: image tSNE visualizer

This is a Python tool using the Bokeh library to view multiple multiplex images simultaneously. The code has been tested on 7-panel Vectra TIFF, 32- & 64-panel CODEX TIFF, 16-panel CODEX QPTIFF, ...
Frontiers

An Introduction to Machine Learning Approaches for Biomedical Research

Machine learning (ML) approaches are a collection of algorithms that attempt to extract patterns from data and to associate such patterns with discrete classes of samples in the data—e.g., given a ...
Frontiers

Dice-XMBD: Deep Learning-Based Cell Segmentation for Imaging Mass Cytometry

Highly multiplexed imaging technology is a powerful tool to facilitate understanding the composition and interactions of cells in tumor microenvironments at subcellular resolution, which is crucial ...
GitHub

Semantic Instance Segmentation with a Discriminative Loss Function

This repository implements Semantic Instance Segmentation with a Discriminative Loss Function with some enhancements. In prediction phase, network inputs an image and outputs a semantic segmentation ...