Difference between revisions of "Informatics"
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[https://computationalpathologygroup.github.io/ASAP/ ASAP] is an open-source whole-slide image viewer. | [https://computationalpathologygroup.github.io/ASAP/ ASAP] is an open-source whole-slide image viewer. | ||
[https://www.ilastik.org/ Ilastik - interactive learning and segmentation toolkit] is an open source tool to perform segmentation and classification of images. Currently it does not support full virtual slides.<ref>{{Cite journal | last1 = Berg | first1 = S. | last2 = Kutra | first2 = D. | last3 = Kroeger | first3 = T. | last4 = Straehle | first4 = CN. | last5 = Kausler | first5 = BX. | last6 = Haubold | first6 = C. | last7 = Schiegg | first7 = M. | last8 = Ales | first8 = J. | last9 = Beier | first9 = T. | title = ilastik: interactive machine learning for (bio)image analysis. | journal = Nat Methods | volume = | issue = | pages = | month = Sep | year = 2019 | doi = 10.1038/s41592-019-0582-9 | PMID = 31570887 }}</ref> | |||
==Health informatics directory== | ==Health informatics directory== |
Latest revision as of 09:34, 18 October 2019
Informatics is the management of information. Pathologists, unfortunately, mostly have poor tools for this job.
Software in use at pathology departments
Information systems
- Softpath.
- CoPath.
- MEDITECH.
- Millennium.
- Nexus pas.net.
- VANTAGE.
Dictation
Content management
Biobanking management
- Centraxx.
Image analysis
Pathology wikis
- Wiki use for the dissemination of pathology knowledge is increasing.
- In the general sphere, Wikipedia is dominating and will probably continue to do so.[3]
Open source
Open source in pathology appears to be some way off. One opinion paper[4] addresses this issue.
The radiologists are more on the ball here, e.g. UCLA's OpenSourcePACS.[5]
A few institutions (mostly American) are coming to understand this and have formed the Open Digital Pathology Consortium (opendp.org). There is also an open slide project (openslide.org).
QPath is a open source software platform for whole slide image analysis.[6]
Cytomine is a web-based open source image processing and analysis software.
ASAP is an open-source whole-slide image viewer.
Ilastik - interactive learning and segmentation toolkit is an open source tool to perform segmentation and classification of images. Currently it does not support full virtual slides.[7]
Health informatics directory
- The University of Freiburg put together a list in 2010.[8]
See also
References
- ↑ URL: http://www.cytomine.be/. Accessed on: 20 April 2016.
- ↑ Marée, R.; Rollus, L.; Stévens, B.; Hoyoux, R.; Louppe, G.; Vandaele, R.; Begon, JM.; Kainz, P. et al. (Jan 2016). "Collaborative analysis of multi-gigapixel imaging data using Cytomine.". Bioinformatics. doi:10.1093/bioinformatics/btw013. PMID 26755625.
- ↑ Heilman, JM.; Kemmann, E.; Bonert, M.; Chatterjee, A.; Ragar, B.; Beards, GM.; Iberri, DJ.; Harvey, M. et al. (2011). "Wikipedia: a key tool for global public health promotion.". J Med Internet Res 13 (1): e14. doi:10.2196/jmir.1589. PMID 21282098.
- ↑ Rubin A (December 2004). "An open pathology computer system". J. Clin. Pathol. 57 (12): 1252–3. doi:10.1136/jcp.2004.020826. PMC 1770514. PMID 15563662. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1770514/.
- ↑ Bui, AA.; Morioka, C.; Dionisio, JD.; Johnson, DB.; Sinha, U.; Ardekani, S.; Taira, RK.; Aberle, DR. et al. (Jan 2007). "OpenSourcePACS: an extensible infrastructure for medical image management.". IEEE Trans Inf Technol Biomed 11 (1): 94-109. PMID 17249408.
- ↑ Bankhead, P.; Loughrey, MB.; Fernández, JA.; Dombrowski, Y.; McArt, DG.; Dunne, PD.; McQuaid, S.; Gray, RT. et al. (12 2017). "QuPath: Open source software for digital pathology image analysis.". Sci Rep 7 (1): 16878. doi:10.1038/s41598-017-17204-5. PMID 29203879.
- ↑ Berg, S.; Kutra, D.; Kroeger, T.; Straehle, CN.; Kausler, BX.; Haubold, C.; Schiegg, M.; Ales, J. et al. (Sep 2019). "ilastik: interactive machine learning for (bio)image analysis.". Nat Methods. doi:10.1038/s41592-019-0582-9. PMID 31570887.
- ↑ URL: [http://hiww.org/ca.html http://hiww.org/ca.html]. Accessed on: November 8, 2014.