Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Birgit Lessmann"'
Autor:
Tim Wilhelm Nattkemper, Andreas Degenhard, Martin O. Leach, Birgit Lessmann, Preminda Kessar, Michael Khazen, Linda Pointon
In this work we propose a method for automatically discriminating between different types of tissue in MR mammography datasets. This is accomplished by employing a wavelet-based multiscale analysis. After the data has been wavelet-transformed unsuper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5b2fbd9ae9dcef1052212f3da90a528
https://pub.uni-bielefeld.de/record/2714032
https://pub.uni-bielefeld.de/record/2714032
Publikováno v:
EPIC342nd European Marine Biology Symposium, Kiel (Germany).
PUB-Publications at Bielefeld University
PUB-Publications at Bielefeld University
Use of automated image analysis to detect changes in megafaunal densities at HAUSGARTEN (79°N west off Svalbard) between 2002 and 2004High latitudes are amongst the most sensitive ecosystems with respect to climate change, which prompted the launch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::674ec6e427b2a945c7aabe5afc5d9926
https://hdl.handle.net/10013/epic.31290
https://hdl.handle.net/10013/epic.31290
Publikováno v:
Bildverarbeitung für die Medizin 2006 ISBN: 3540321365
Bildverarbeitung für die Medizin
Bildverarbeitung für die Medizin
The information content of large collections of histopathological images can be explored utilizing computer-based techniques that can help the user to explore the similarity between different brain tumor types. To visually inspect the degree of simil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::719a521973aa83ce1948e900da921151
https://doi.org/10.1007/3-540-32137-3_14
https://doi.org/10.1007/3-540-32137-3_14
Publikováno v:
Medical Imaging: Image Processing
In this work we present a method for the interactive feature space exploration and content-based database visualization (CBDV) of medical image databases. Using Self Organizing Maps it is possible to visualize the content of a medical image database.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50a9a852b853e6fdec9d3f9be70c826e
https://doi.org/10.1117/12.652101
https://doi.org/10.1117/12.652101
Autor:
Linda Pointon, Christian Loyek, Michael Khazen, Birgit Lessmann, Preminda Kessar, Tim Wilhelm Nattkemper, Andreas Degenhard, Johannes Huth, Martin O. Leach
Publikováno v:
Bildverarbeitung für die Medizin 2006 ISBN: 3540321365
Bildverarbeitung für die Medizin
PUB-Publications at Bielefeld University
Bildverarbeitung für die Medizin
PUB-Publications at Bielefeld University
Content based image retrieval (CBIR) systems in the field of medical image analysis are an active field of research. They allow the user to compare a given case with others in order to assist in the diagnostic process. In this work a CBIR system is d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8eeb762098e417bf286f3d4049268a83
https://pub.uni-bielefeld.de/record/2374254
https://pub.uni-bielefeld.de/record/2374254
Publikováno v:
Journal of Biomedical Informatics. (6):631-641
In medical image analysis the image content is often represented by features computed from the pixel matrix in order to support the development of improved clinical diagnosis systems. These features need to be interpreted and understood at a clinical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba557d76505f8285725346740def7ec6