00830nam0-22002771i-450-99000062540040332120001010000062540FED01000062540(Aleph)000062540FED0100006254020001010d--------km-y0itay50------baitay-------001yy<<La >>ricerca delle caratteristiche estreme in teoria del 2° ordinei ponti sospesi ed i ponti Maillart,1987numero di note 26Pubblicazioni di Autori Italiani.Rosati,L.31708ITUNINARICAUNIMARCBK99000062540040332107 X/68DINSCDINSCRicerca delle caratteristiche estreme in teoria del 2° ordine315835UNINAING0101749nam 2200397z- 450 9910346767303321202102111000060221(CKB)4920000000100850(oapen)https://directory.doabooks.org/handle/20.500.12854/54603(oapen)doab54603(EXLCZ)99492000000010085020202102d2017 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierNew Methods to Improve Large-Scale Microscopy Image Analysis with Prior Knowledge and UncertaintyKIT Scientific Publishing20171 online resource (XII, 243 p. p.)3-7315-0590-8 Multidimensional imaging techniques provide powerful ways to examine various kinds of scientific questions. The routinely produced data sets in the terabyte-range, however, can hardly be analyzed manually and require an extensive use of automated image analysis. The present work introduces a new concept for the estimation and propagation of uncertainty involved in image analysis operators and new segmentation algorithms that are suitable for terabyte-scale analyses of 3D+t microscopy images.3D BildanalyseAlgorithmenAlgorithmsData MiningDevelopmental BiologyEntwicklungsbiologieSoftwareSoftware3D Image AnalysisStegmaier Johannesauth1323753BOOK9910346767303321New Methods to Improve Large-Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty3035813UNINA