Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Cristobal Vergara-Niedermayr"'
Autor:
Fusheng Wang, Jun Kong, Jingjing Gao, Lee A.D. Cooper, Tahsin Kurc, Zhengwen Zhou, David Adler, Cristobal Vergara-Niedermayr, Bryan Katigbak, Daniel J Brat, Joel H Saltz
Publikováno v:
Journal of Pathology Informatics, Vol 4, Iss 1, Pp 5-5 (2013)
Background: Algorithm evaluation provides a means to characterize variability across image analysis algorithms, validate algorithms by comparison with human annotations, combine results from multiple algorithms for performance improvement, and facili
Externí odkaz:
https://doaj.org/article/dc70e4a22faf4434b96d184508cf3d06
XML is ubiquitously used as an information exchange platform for web-based applications in healthcare, life sciences, and many other domains. Proliferating XML data are now managed through latest native XML database technologies. XML data sources con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ad620ca78a071b5bf393be5a4a3eecb
https://europepmc.org/articles/PMC4185431/
https://europepmc.org/articles/PMC4185431/
Autor:
Tahsin Kurc, Cristobal Vergara-Niedermayr, Fusheng Wang, Jun Kong, David William Adler, Jingjing Gao, Lee Cooper, Bryan Katigbak, Zhengwen Zhou, Joel H. Saltz, Daniel J. Brat
Publikováno v:
Journal of Pathology Informatics
Journal of Pathology Informatics, Vol 4, Iss 1, Pp 5-5 (2013)
Journal of Pathology Informatics, Vol 4, Iss 1, Pp 5-5 (2013)
Background: Algorithm evaluation provides a means to characterize variability across image analysis algorithms, validate algorithms by comparison with human annotations, combine results from multiple algorithms for performance improvement, and facili
Publikováno v:
SPIE Proceedings.
High-resolution pathology images provide rich information about the morphological and functional characteristics of biological systems, and are transforming the field of pathology into a new era. To facilitate the use of digital pathology imaging for
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783642033537
CollaborateCom
CollaborateCom
Scientific research becomes increasingly reliant on multi-disciplinary, multi-institutional collaboration through sharing experimental data. Indeed, data sharing is mandatory by government research agencies such as NIH. The major hurdles for data sha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8d1ac2f73a4b68299057f5c5f5aaa0a
https://doi.org/10.1007/978-3-642-03354-4_58
https://doi.org/10.1007/978-3-642-03354-4_58
Autor:
Fusheng Wang, Cristobal Vergara-Niedermayr, Florian Thiel, Chen Qin, David Kaltschmidt, Georg Hackenberg, Daniel Furrer, Mo Wang, Pierre-Emmanuel Bourgue
Publikováno v:
SPIE Proceedings.
Increased complexity of scientific research poses new challenges to scientific data management. Meanwhile, scientific collaboration is becoming increasing important, which relies on integrating and sharing data from distributed institutions. We devel
Publikováno v:
International Journal of Metadata, Semantics and Ontologies. 9:42
Biomedical research data sharing is becoming increasingly important for researchers to reuse experiments, pool expertise and validate approaches. However, there are many hurdles for data sharing, including the unwillingness to share, lack of flexible