A web-based framework for visualization, annotation, and automatic exploitation of high-resolution bioimages using tree-based machine learning methods

CYTOMIN

A rich internet application for remote visualization, collaborative annotation, and automated analysis of large-scale biomages

WIST3 Cytomine 101707

Collaborative analysis of multi-gigapixel imaging data using Cytomine

Motivation: Collaborative analysis of massive imaging datasets is essential to enable scientific discoveries. Results: We developed Cytomine to foster active and distributed collaboration of multidisciplinary teams for large-scale image-based studies. It uses web development methodologies and machine learning in order to readily organize, explore, share and analyze (semantically and quantitatively) multi-gigapixel imaging data over the internet. We illustrate how it has been used in several biomedical applications

Background

PROCEEDINGS A rich internet application for remote visualization and collaborative annotation of digital slides in histology and cytolog

A hybrid human-computer approach for large-scale image-based measurements using web services and machine learning

peer reviewedWe present a novel methodology combining web-based software development practices, machine learning, and spatial databases for computer-aided quantification of regions of interest (ROIs) in large-scale imaging data. We describe our main methodological choices, and then illustrate the benefits of the approach (workload reduction, improved precision, scalability, and traceability) on hundreds of whole-slide images of biological tissue slices in cancer research.CYTOMIN

A rich internet application for remote visualization and collaborative annotation of digital slide images in histology and cytology

This work proposes a new web-based tool to ease collaborative projects in digital histology and cytology.WIST3 Cytomine 101707

HistoWeb, ou comment transformer une plate-forme de bioimages en un outil d'apprentissage

In 2012, medical studies in Belgium has undergone an important reform that leads to a rocketing rise of the number of students. The University of Liège took this renewed context as an opportunity to thoroughly revamp its teaching methods in histology, extending CYTOMINE [1] (http://cytomine.be : a web-based, image storage, annotation, and analysis platform) with new pedagogical features