SimpleITK

Article summary

__NOTOC__ SimpleITK is a simplified, open-source interface to the Insight Segmentation and Registration Toolkit (ITK). The SimpleITK image analysis library is available in multiple programming languages including C++, Python, R, Java, C#, Lua, Ruby and Tcl. Binary distributions are available for all three major operating systems (Linux, macOS and Microsoft Windows). Developed at the National Institutes of Health (NIH) as an open resource, its primary goal is to make the algorithms available in the ITK library accessible to the broadest range of scientists whose work includes image analysis, irrespective of their software development skills. As a consequence, the SimpleITK interface exposes only the most commonly modified algorithmic settings of the ITK components. Additionally, the library provides both an object oriented and a procedural interface to most of the image processing filters. The latter enables image analysis workflows with concise syntax. A secondary goal of the library is to promote reproducible image analysis workflows by using the SimpleITK library in conjunction with modern tools for reproducible computational workflows available in the Python (Jupyter notebooks) and R (knitr package ) programming languages. Software development is centered on GitHub using a fork and pull model.…

Key claims

No claims recorded.

Discussion questions

1. Summarise the article in your own words. Which single claim would you verify first, and why?
2. Which claim in this article is most likely to be revised as the sources update? How would you check its current status?
3. If two sources disagreed about one of these facts, what would you need in order to trust one over the other?

Bibliography

No sources recorded.