Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Henning Schubert"'
Autor:
Berthold B. Wein, Henning Schubert, Thomas M. Deserno, Thomas Seidl, Bartosz Plodowski, Klaus Spitzer, Mark Oliver Güld, Hermann Ney
Publikováno v:
Journal of Digital Imaging. 21:280-289
The impact of image pattern recognition on accessing large databases of medical images has recently been explored, and content-based image retrieval (CBIR) in medical applications (IRMA) is researched. At the present, however, the impact of image ret
Autor:
Henning Schubert, Hoen-oh Shin, Berthold B. Wein, Stefan Krass, Jan-Martin Kuhnigk, Dag Wormanns, Stephan Zidowitz, Heinz-Otto Peitgen, Bernd Kuemmerlen, L. Bornemann, Volker Dicken
Publikováno v:
RadioGraphics. 25:841-848
Owing to the rapid development of scanner technology, thoracic computed tomography (CT) offers new possibilities but also faces enormous challenges with respect to the quality of computer-assisted diagnosis and therapy planning. In the framework of t
Autor:
Hermann Ney, Berthold B. Wein, Thomas Deselaers, Mark Oliver Güld, Daniel Keysers, Klaus Spitzer, Henning Schubert, Thomas Martin Lehmann
Publikováno v:
Computerized Medical Imaging and Graphics. 29:143-155
Categorization of medical images means selecting the appropriate class for a given image out of a set of pre-defined categories. This is an important step for data mining and content-based image retrieval (CBIR). So far, published approaches are capa
Autor:
Daniel Keysers, Henning Schubert, Berthold B. Wein, Christian Thies, Hermann Ney, Mark Oliver Güld, Thomas Martin Lehmann, Klaus Spitzer, Michael Kohnen, Benedikt Fischer
Publikováno v:
Methods of Information in Medicine. 43:354-361
Summary Objectives: To develop a general structure for semantic image analysis that is suitable for content-based image retrieval in medical applications and an architecture for its efficient implementation. Methods: Stepwise content analysis of medi
Autor:
Thomas Martin Lehmann, Henning Schubert, O. Güld, Daniel Keysers, Berthold B. Wein, Michael Kohnen
Publikováno v:
Journal of Digital Imaging. 16:280-291
Automatic identification of frontal (posteroanterior/anteroposterior) vs. lateral chest radiographs is an important preprocessing step in computer-assisted diagnosis, content-based image retrieval, as well as picture archiving and communication syste
Autor:
Lars, Bornemann, Jan-Martin, Kuhnigk, Volker, Dicken, Stephan, Zidowitz, Bernd, Kuemmerlen, Stefan, Krass, Heinz-Otto, Peitgen, Berthold B, Wein, Henning, Schubert, Hoen-oh, Shin, Dag, Wormanns
Publikováno v:
Radiographics : a review publication of the Radiological Society of North America, Inc. 25(3)
Owing to the rapid development of scanner technology, thoracic computed tomography (CT) offers new possibilities but also faces enormous challenges with respect to the quality of computer-assisted diagnosis and therapy planning. In the framework of t
Publikováno v:
Circulation. 111(3)
Publikováno v:
Circulation. 111
A 35-year-old woman was admitted to the intensive care unit with progressive shortness of breath. She had been diagnosed during childhood as having Klippel-Trenaunay-Weber syndrome. This diagnosis was based on asymmetrical enlargement of her right le
Autor:
Henning, Schubert, Patrick, Haage
Publikováno v:
The New England journal of medicine. 351(13)
Autor:
Thomas M, Lehmann, Mark O, Güld, Christian, Thies, Bartosz, Plodowski, Daniel, Keysers, Bastian, Ott, Henning, Schubert
Publikováno v:
Studies in health technology and informatics. 107(Pt 2)
The impact of content-based access to medical images is frequently reported but existing systems are designed for only a particular modality or context of diagnosis. Contrarily, our concept of image retrieval in medical applications (IRMA) aims at a