Difference between revisions of "Main Page/SlicerCommunity"

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Go to <big>[[Main_Page/SlicerCommunity/2018|2018]] :: [[Main_Page/SlicerCommunity/2017|2017]] ::  [[Main_Page/SlicerCommunity/2016|2016]] :: [[Main_Page/SlicerCommunity/2015|2015]] :: [[Main_Page/SlicerCommunity/2011-2014|2014-2011]] :: [[Main_Page/SlicerCommunity/2005-2010|2010-2005]]</big>
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Go to <big>[[Main_Page/SlicerCommunity/2019|2019]] :: [[Main_Page/SlicerCommunity/2018|2018]] :: [[Main_Page/SlicerCommunity/2017|2017]] ::  [[Main_Page/SlicerCommunity/2016|2016]] :: [[Main_Page/SlicerCommunity/2015|2015]] :: [[Main_Page/SlicerCommunity/2011-2014|2014-2011]] :: [[Main_Page/SlicerCommunity/2005-2010|2010-2005]]</big>
 
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<noinclude>=3D Slicer Enabled Research=
 
<noinclude>=3D Slicer Enabled Research=
[[Documentation/{{documentation/currentversion}}/Slicer|3D Slicer]] is a free open source software package distributed under a BSD style [[License|license]].   
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[[Documentation/{{documentation/currentversion}}/Slicer|3D Slicer]] is a free open source software package distributed under a BSD style [[License|license]] for analysis, integration, and visualization of medical images. 3D Slicer allows even those with limited image processing experience to effectively explore and quantify their imaging data for hypothesis-driven research.   
 
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Since 1999, with support from the NIH and a worldwide open source developer community, we have developed, distributed, and supported 3D Slicer, a free and powerful software platform for analysis, integration, and visualization of medical images that allows even those with limited image processing experience to effectively explore and quantify their imaging data for hypothesis-driven research. 
 
  
A trajectory of steadily increasing rates for [https://download.slicer.org/download-stats/ downloads] (425,000+ in the past seven years, of which 113,000+ were in the last year alone), more than 7,300 citations on Google Scholar, and an [https://na-mic.github.io/ProjectWeek/ open source hackathon series] continuously running since 2005, are indicators of the large and active community that relies on 3D Slicer.
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The community that relies on 3D Slicer is large and active:  (numbers below updated on April 22, 2019)
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*[https://download.slicer.org/download-stats/ 500,000+ downloads] in the last 8 years (134,000+ in last year)
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*[https://scholar.google.com/scholar?hl=en&as_sdt=1%2C22&as_vis=1&q=%28%223D+Slicer%22+OR+%22slicer+org%22+OR+Slicer3D%29+-Slic3r+&btnG= over 8,100+ literature search results on Google Scholar]
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*[https://scholar.google.com/scholar?hl=en&as_sdt=1%2C22&as_vis=1&q=%28cancer+OR+tumor+OR+radiation%29+AND+%28%223D+Slicer%22+OR+%22slicer+org%22+OR+Slicer3D%29+-Slic3r+&btnG= 4600+ cancer research citations on Google Scholar] ([https://scholar.google.com/scholar?hl=en&as_sdt=1%2C22&as_vis=1&q=%28prostate%29+AND+%28cancer+OR+tumor+OR+radiation%29+AND+%28%223D+Slicer%22+OR+%22slicer+org%22+OR+Slicer3D%29+-Slic3r+&btnG= 1100+ prostate]), ([https://scholar.google.com/scholar?hl=en&as_sdt=1%2C22&as_vis=1&q=%28brain%29+AND+%28cancer+OR+tumor+OR+radiation%29+AND+%28%223D+Slicer%22+OR+%22slicer+org%22+OR+Slicer3D%29+-Slic3r+&btnG= 2,600+ brain]),  ([https://scholar.google.com/scholar?hl=en&as_sdt=1%2C22&as_vis=1&q=%28lung%29+AND+%28cancer+OR+tumor+OR+radiation%29+AND+%28%223D+Slicer%22+OR+%22slicer+org%22+OR+Slicer3D%29+-Slic3r+&btnG= 1,500+ lung]),  ([https://scholar.google.com/scholar?hl=en&as_sdt=1%2C22&as_vis=1&q=%28breast%29+AND+%28cancer+OR+tumor+OR+radiation%29+AND+%28%223D+Slicer%22+OR+%22slicer+org%22+OR+Slicer3D%29+-Slic3r+&btnG= 1,100+ breast])
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*[https://na-mic.github.io/ProjectWeek/ 30+ events in open source hackathon series] continuously running since 2005 with over 2,400 total participants
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* [https://discourse.slicer.org/ Slicer Forum] with other 2,475 subscribers has over 200 posts every week
  
Since the inception of the [https://imaging.cancer.gov/programs_resources/specialized_initiatives/qin/about/default.htm NCI QIN] and [https://itcr.cancer.gov/ ITCR networks], the use of 3D Slicer for quantitative cancer image analysis research has grown substantially. More than half of the 3D Slicer citations on Google Scholar use it for cancer research. The research spans cancers of the [https://scholar.google.com/scholar?hl=en&as_sdt=1%2C22&as_vis=1&q=%28prostate%29+AND+%28cancer+OR+tumor+OR+radiation%29+AND+%28%223D+Slicer%22+OR+%22slicer+org%22+OR+Slicer3D%29+-Slic3r+&btnG= prostate] (1000+), [https://scholar.google.com/scholar?hl=en&as_sdt=1%2C22&as_vis=1&q=%28brain%29+AND+%28cancer+OR+tumor+OR+radiation%29+AND+%28%223D+Slicer%22+OR+%22slicer+org%22+OR+Slicer3D%29+-Slic3r+&btnG= brain] (2,320+), [https://scholar.google.com/scholar?hl=en&as_sdt=1%2C22&as_vis=1&q=%28lung%29+AND+%28cancer+OR+tumor+OR+radiation%29+AND+%28%223D+Slicer%22+OR+%22slicer+org%22+OR+Slicer3D%29+-Slic3r+&btnG= lung] (1,310+), and [https://scholar.google.com/scholar?hl=en&as_sdt=1%2C22&as_vis=1&q=%28breast%29+AND+%28cancer+OR+tumor+OR+radiation%29+AND+%28%223D+Slicer%22+OR+%22slicer+org%22+OR+Slicer3D%29+-Slic3r+&btnG= breast] (1010+), and involves multimodality imaging based staging and characterization, correlation with histopathology, segmentation of tumor and critical structures for precision biopsy, surgery, and radiation therapy, and quantitative assessment of response to therapy.
 
 
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The research of Slicer community is represented in the [http://www.slicer.org/publications/pages/display/?collection=11 publication database].
 
The research of Slicer community is represented in the [http://www.slicer.org/publications/pages/display/?collection=11 publication database].
 
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The following is a sample of the research performed<includeonly>in {{#titleparts: {{PAGENAME}} | 2 | 3 }}</includeonly> by the 3D Slicer community:
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The following is a sample of the research performed<includeonly> in {{#titleparts: {{PAGENAME}} | 2 | 3 }}</includeonly> using 3D Slicer outside of the group that develops it.  (Research performed by groups that are also actively developing 3D Slicer is represented in the [http://www.spl.harvard.edu/publications/pages/display/?collection=11&collection=11 publication database]).
 
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* [[Main_Page/SlicerCommunity/2019|2019]]
 
* [[Main_Page/SlicerCommunity/2018|2018]]
 
* [[Main_Page/SlicerCommunity/2018|2018]]
 
* [[Main_Page/SlicerCommunity/2017|2017]]
 
* [[Main_Page/SlicerCommunity/2017|2017]]

Latest revision as of 10:40, 27 June 2019

Home < Main Page < SlicerCommunity

3D Slicer Enabled Research

3D Slicer is a free open source software package distributed under a BSD style license for analysis, integration, and visualization of medical images. 3D Slicer allows even those with limited image processing experience to effectively explore and quantify their imaging data for hypothesis-driven research.


The community that relies on 3D Slicer is large and active: (numbers below updated on April 22, 2019)


The following is a sample of the research performed using 3D Slicer outside of the group that develops it. (Research performed by groups that are also actively developing 3D Slicer is represented in the publication database).

We invite you to provide information using our discussion forum on how you are using 3D Slicer to produce peer-reviewed research. Information about the scientific impact of this tool is helpful in raising funding for the continued support.