Method and system for image analysis and interpretation
作者： Daniel Russakoff , Jonathan Oakley
DOI:
关键词:
摘要: A method is provided that includes identifying a plurality of data sets, each set associated with distribution model and an image having first noise level. The partitioning the sets into groups generating best representative estimate for group, second level less than further annotating group receiving input set. assigning to according group's annotation.
google.de 参考文章(37)
Richard Flagan, Marc'aurelio Ranzato, Pietro Perona, Automatic visual recognition of biological particles ,(2005)
Gholamhosein Sheikholeslami, Surojit Chatterjee, Aidong Zhang, Wavelet-based clustering method for managing spatial data in very large databases ,(2000)
Matthew J. Everett, Jonathan D. Oakley, Automated analysis of the optic nerve head: measurements, methods and representations ,(2011)
David Jean Pascal Acunzo, Ying Zhu, Gregory Baratoff, Context adaptive approach in vehicle detection under various visibility conditions ,(2007)
Trevor Darrell, Kristen Grauman, Pyramid match kernel and related techniques ,(2007)
Joseph Sirosh, Unsupervised identification of nonlinear data cluster in multidimensional data ,(1999)
Stephen A. Boppart, Adam M. Zysk, Freddy T. Nguyen, Low-coherence interferometry and optical coherence tomography for image-guided surgical treatment of solid tumors ,(2008)
Marshall W. Bern, David Goldberg, Method and apparatus for improving image appearance ,(2002)
Michael Allen Vicic, Chang-Meng B. Hsiung, Michael Gregory Steinthal, Bethsabeth Munoz, Shou-Hua Zhang, Ajoy Kumar Roy, Steven A. Sunshine, System for providing control to an industrial process using one or more multidimensional variables ,(2005)
Ioannis A. Kakadiaris, Morteza Naghavi, Scoring method for imaging-based detection of vulnerable patients ,(2006)