Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Mathematics and natural scienses: 400::Information and communication science: 420 [VDP]"'
Publikováno v:
IEEE International Symposium on Computer-Based Medical Systems
CBMS
CBMS
Semantic image segmentation is the process of labeling each pixel of an image with its corresponding class. An encoder-decoder based approach, like U-Net and its variants, is a popular strategy for solving medical image segmentation tasks. To improve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::159a3788a09c11ebda3694bdc8ff97bb
https://hdl.handle.net/10037/28864
https://hdl.handle.net/10037/28864
Autor:
Lars Wirzenius, Andrea Bagnacani, Fabian Klötzl, Andreas Tille, Matúš Kalaš, Petter Reinholdtsen, Brad Chapman, Michael R. Crusoe, Stuart W. Prescott, Steffen Möller, Stian Soiland-Reyes, Pjotr Prins
Publikováno v:
Data Science and Engineering, Vol 2, Iss 3, Pp 232-244 (2017)
Data Science and Engineering
Möller, S, Prescott, S W, Wirzenius, L, Reinholdtsen, P, Chapman, B, Prins, P, Soiland-Reyes, S, Klötzl, F, Bagnacani, A, Kalaš, M, Tille, A & Crusoe, M R 2017, ' Robust cross-platform workflows : How technical and scientific communities collaborate to develop, test and share best practices for data analysis ', Data Science and Engineering . https://doi.org/10.1007/s41019-017-0050-4
Data Science and Engineering
Möller, S, Prescott, S W, Wirzenius, L, Reinholdtsen, P, Chapman, B, Prins, P, Soiland-Reyes, S, Klötzl, F, Bagnacani, A, Kalaš, M, Tille, A & Crusoe, M R 2017, ' Robust cross-platform workflows : How technical and scientific communities collaborate to develop, test and share best practices for data analysis ', Data Science and Engineering . https://doi.org/10.1007/s41019-017-0050-4
Information integration and workflow technologies for data analysis have always been major fields of investigation in bioinformatics. A range of popular workflow suites are available to support analyses in computational biology. Commercial providers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::908220616ebc91c046ce6ec6b582cf38
http://link.springer.com/article/10.1007/s41019-017-0050-4
http://link.springer.com/article/10.1007/s41019-017-0050-4
