Cognition Network Technology: Difference between revisions

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'''Cognition Network Technology''' ('''CNT'''), also known as '''Definiens Cognition Network Technology''',<ref>[{{Cite web|url=http://www.ecognition.com/sites/default/files/technology.pdf |title=Image analysis with Definiens Cognition Network Technology]}}</ref> is an [[object-based image analysis]] method developed by Nobel laureate [[Gerd Binnig]] together with a team of researchers at Definiens AG in Munich, Germany. It serves for extracting information from images using a hierarchy of image objects (groups of pixels), as opposed to traditional pixel processing methods.

To emulate the human mind's cognitive powers, Definiens used patented [[image segmentation]] and classification processes, and developed a method to render knowledge in a [[semantic network]]. CNT examines pixels not in isolation, but in context. It builds up a picture iteratively, recognizing groups of pixels as objects. It uses the color, shape, texture and size of objects as well as their context and relationships to draw conclusions and inferences, similar to human analysis.

==History==

In 1994 Professor Gerd Binnig founded ''Definiens''. CNT was first available with the launch of the ''eCognition'' software in May 2000. In June 2010, [[Trimble Navigation Ltd]] (NASDAQ: TRMB) acquired Definiens business asset in [[earth sciences]] markets, including eCognition software,<ref>{{Cite web | publisher=Trimble / Definiens Joint Press Release: "| title=Trimble Acquires Definiens’ Earth Sciences Business to Expand its GeoSpatial Portfolio". June| date=2010-06-11, 2010.| url=http://www.ecognition.com/sites/default/files/Trimble%20eCognition.pdf}}</ref> and also licensed Definiens' patented CNT.<ref>{{cite web | url=http://www.trimble.com/Corporate/About_History.aspx | title=About Trimble: Company History 1978 &#124; Present | access-date=2024-06-20 | archive-date=2017-04-28 | archive-url=https://web.archive.org/web/20170428055555/http://www.trimble.com/corporate/about_history.aspx | url-status=live }}</ref> In 2014, Definiens was acquired by [[MedImmune]], the global biologics research and development arm of AstraZeneca, for an initial consideration of $150 million.<ref>{{Cite web|url=https://www.astrazeneca.com/media-centre/press-releases/2014/medimmune-definiens-aquisition-tissue-phenomics-26112014.html|title=MedImmune completes acquisition of Definiens - AstraZeneca|date=November 26, 2014|website=www.astrazeneca.com|access-date=June 20, 2024|archive-date=June 20, 2024|archive-url=https://web.archive.org/web/20240620230851/https://www.astrazeneca.com/media-centre/press-releases/2014/medimmune-definiens-aquisition-tissue-phenomics-26112014.html#modal-historic-confirmation|url-status=live}}</ref>

==Software==

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===Definiens Tissue Studio===

''Definiens Tissue Studio'' is a [[digital pathology]] image analysis software application based on CNT.<ref>{{cite web |url=http://www.definiens.com/technology_41_1_4.html |title=Definiens Cognition Network Technology |accessdate=2010-02-10 |url-status=dead |archiveurl=https://web.archive.org/web/20100325202459/http://www.definiens.com/technology_41_1_4.html |archivedate=2010-03-25 }}</ref>

The intended use of Definiens Tissue Studio is for biomarker [[translational research]] in formalin-fixed, paraffin-embedded tissue samples which have been treated with [[Immunohistochemistry|immunohistochemical]] staining assays, or [[H&E stain|hematoxylin and eosin]] (H&E).<ref name="auto">{{cite web |title=Definiens Tissue Studio™ |url=http://www.definiens.com/tissuestudio |title=Archived copy |accessdate=2010-02-10 |url-status=dead |archiveurl=https://web.archive.org/web/20091004154007/http://www.definiens.com/tissuestudio/ |archivedate=2009-10-04 |accessdate=2010-02-10}}</ref>

The central concept behind Definiens Tissue Studio is a user interface that facilitates [[machine learning]] from example digital histopathology images in order to derive an image analysis solution suitable for the measurement of [[biomarkers]] and/or histological features within pre-defined regions of interest on a cell-by-cell basis, and within sub-cellular compartments.<ref>{{cite web |urlname=http:"auto"//www.definiens.com/tissuestudio |title=Archived copy |accessdate=2010-02-10 |url-status=dead |archiveurl=https://web.archive.org/web/20091004154007/http://www.definiens.com/tissuestudio/ |archivedate=2009-10-04 }}</ref> The derived image analysis solution is then automatically applied to subsequent digital images in order to objectively measure defined sets of multiparametric image features. These data sets are used for further understanding the underlying biological processes that drive [[cancer]] and other diseases.<ref>{{Cite web |url=http://laboratorian.advanceweb.com/Article/The-Image-Analysis-Challenge.aspx |title=The Image Analysis Challenge on ADVANCE for Medical Laboratory Professionals |access-date=2016-06-28 |archive-url=https://web.archive.org/web/20110707090609/http://laboratorian.advanceweb.com/Article/The-Image-Analysis-Challenge.aspx |archive-date=2011-07-07 |url-status=dead }}</ref> Image processing and data analysis are performed either on a local desktop computer workstation, or on a server grid.<ref>{{cite web |urlname=http:"auto"//www.definiens.com/tissuestudio |title=Archived copy |accessdate=2010-02-10 |url-status=dead |archiveurl=https://web.archive.org/web/20091004154007/http://www.definiens.com/tissuestudio/ |archivedate=2009-10-04 }}</ref>

===eCognition===