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A tool for the quantitative evaluation of differences in color images
...Contacts:
Filippo Piccinini (emails: filippo.piccinini@irst.emr.it; f.piccinini@unibo.it)
Repository:
https://sourceforge.net/p/colori-dt/
How to cite us when using the tool:
Filippo Piccinini et al. “Colori-DT: an open-source tool for the quantitative evaluation of differences in microscopy color images”.
The Video Annotation and Reference System (VARS) is a software interface and database system that provides tools for describing, cataloging, retrieving, and viewing the visual, descriptive, and quantitative data associated with video.
Library to support quantitative analysis of radiotherapy data
Moved to: http://github.com/MIC-DKFZ/RTTB
RTToolbox is a software library, developed at the DKFZ to support quantitative analysis of treatment outcome for radiotherapy.
The RTToolbox was designed following object-oriented design principles and was implemented in the language C++. It supports the import of radiotherapy data (e.g. dose distributions and structure sets) from DICOM-RT format and other standard image processing formats by using a bridge to ITK.
Camscope is a multi-threaded program for acquiring and quantitatively analyzing images from an IIDC-compliant FireWire camera. It provides an integrated environment for performing quantitative video microscopy for teaching laboratories.
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Uwp is a phase unwrapping tool which uses Ghiglia adapted algorythms to create 3d models out of wrapped phase distributions. Uwp is also able to compare the performance of those algorythms in quantitative and qualitative terms.
A Java class library for visualizing quantitative data using two-dimensional category charts [pie, line, vertical bar, horizontal bar, scatter-plot (dot), combination, and overlay charts]. Charts are of type JComponent and BufferedImage.
The purpose of the project is to develop a quantitative medical imaging & visualization program for use on brain MR, DTI and MRS data. It is a joint project of the Kennedy Krieger Institute & the Johns Hopkins University, Psychiatric Neuroimaging Lab