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Error to trace to log to deploy. One click. No SSH.
Catch the cause before the pager goes off.
AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
Graphical Interface for Medical Image Analysis and Simulation
GIMIAS is a workflow-oriented environment for solving advanced biomedical image computing and individualized simulation problems, which is extensible through the development of problem-specific plug-ins. In addition, GIMIAS provides an open source framework for efficient development of research and clinical software prototypes integrating contributions from the Physiome community while allowing business-friendly technology transfer and commercial product development.
BioImageXD - free open source software for analysis, processing and 3D rendering of multi dimensional, multi data channel, time series image data from microscopy and other sources.
3D medical image platform for visualization and image processing. Segmentation with Levels sets. Surface reconstruction with marching Cubes, texture Mapping and Raycasting,DICOM support. Integration environment for VTK, ITK and vtkInria3D under wxWidgets
SMIT (Scientific & Medical Imaging Tool) assists in image analysis of 3D datasets. It supports image registration, imagesegmentation, 3D ROI analysis, and least square fitting. Its powerful OpenGL engine displays your data fast and accurately. Enjoy!
Open Source and Portable object oriented software for 3D digital imagesegmentation and visualization. Pipes and Filters Architechture.
Implemented in C++, and uses FLTK, VTK, ITK, TCL (plugins), and pipeline filters implemented in XML. DICOM support.
OpenVL is a framework for handling, processing & visualizing volumetric data (CT, MRI etc). It provides: powerful data access & layout API, plugins for volume processing tasks (image processing, segmentation etc), and support for multiple file-formats.
The 3D Slicer is freely available, open-source software for visualization, registration, segmentation, and quantification of medical image data. Follow the link for more info: http://slicer.org