
Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3378 |







This paper proposes the next generation for Java Image Science Toolkit (JIST), which realize the visualization function and validation for the integrated medical image processing platform to ease the whole medical image process, and analytically prevents the inaccuracy from degrading the performance of open-source development.
Hypothesis:
Finite medical imaging processing algorithms components.
Evidence:Different medical imaging processing pipelines are formed to process different medical image data and realize several complex algorithems cross platforms.
Open Science:Yes.
Reproducibility:Yes.
The source code compiles and runs well.
Use of Open Source Software:The authors not only describe the open source advantages, but also provide the open source nightly build validation workflow with Hudson.
Open source Contributions:Yes.
The code is clear and easy to run.
Code Quality :The code is well written and suitable for multiple-platforms.
Quality of the data :The data provided is usable and make sense.
Interest:More imaging processing algorithms could be developped within this tool.
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Categories: | Data Representation, Programming |
Keywords: | JIST next generation, medical image analysis, visualization, fidelity, continuous integration |
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![]() by Bauer S., Fejes T., Reyes M.
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![]() by Dowling J., Malaterre M., Greer P.B., Salvado O.
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