Jung, Florian ; Kirschner, Matthias ; Wesarg, Stefan (2013)
A Generic Approach to Organ Detection Using 3D Haar-Like Features.
Bildverarbeitung für die Medizin 2013.
doi: 10.1007/978-3-642-36480-8_56
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Automatic segmentation of medical images requires accurate detection of the desired organ as a first step. In contrast to application specific approaches, learning-based object detection algorithms are easily adaptable to new applications. We present a learning-based object detection approach based on the Viola-Jones algorithm. We propose several extensions to the original approach, including a new 3D feature type and a multi-organ detection scheme. The algorithm is used to detect six different organs in CT scans as well as the prostate in MRI data. Our evaluation shows that the algorithm provides fast and reliable detection results in all cases.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2013 |
| Autor(en): | Jung, Florian ; Kirschner, Matthias ; Wesarg, Stefan |
| Art des Eintrags: | Bibliographie |
| Titel: | A Generic Approach to Organ Detection Using 3D Haar-Like Features |
| Sprache: | Englisch |
| Publikationsjahr: | 2013 |
| Verlag: | Springer, Berlin; Heidelberg; New York |
| Reihe: | Informatik aktuell |
| Veranstaltungstitel: | Bildverarbeitung für die Medizin 2013 |
| DOI: | 10.1007/978-3-642-36480-8_56 |
| Kurzbeschreibung (Abstract): | Automatic segmentation of medical images requires accurate detection of the desired organ as a first step. In contrast to application specific approaches, learning-based object detection algorithms are easily adaptable to new applications. We present a learning-based object detection approach based on the Viola-Jones algorithm. We propose several extensions to the original approach, including a new 3D feature type and a multi-organ detection scheme. The algorithm is used to detect six different organs in CT scans as well as the prostate in MRI data. Our evaluation shows that the algorithm provides fast and reliable detection results in all cases. |
| Freie Schlagworte: | Business Field: Visual decision support, Research Area: Confluence of graphics and vision, Medical image processing, Medical imaging, Object detection |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 12 Nov 2018 11:16 |
| Letzte Änderung: | 12 Nov 2018 11:16 |
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