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Es wird eine neuartige Methodik zur merkmalsgesteuerten Segmentierung vorgestellt, die eine Verallgemeinerung des Constrained Region Growings (CRG) darstellt. Dazu werden Unterscheidungsmerkmale von Objekten aus einer Datenbasis verwendet, um mit diesen Merkmalen weitere Objekte zu segmentieren. Die Merkmale werden automatisch bestimmt und ein Klassifikator aufgebaut. Dieser wird zusammen mit den...
Für den Aufbau eines medizinischen Diagnosesystems muss stets ein neues Klassifikationssystem entworfen werden, da keine allgemeine und für beliebige Probleme verwendendbare Lösung existiert. Aufgrund der vielen verschiedenen Kombinationsmöglichkeiten von Merkmalsselektoren und Klassifikatoren ist der Entwurf eines guten Klassifikationssystems meist zeitaufwändig und umständlich. Hierfür waren bislang...
The detection and segmentation of stellate lesions in mammograms is a difficult task in image processing due to the high variances in their appearance. We present the application of an interactive generic system, that is trained to detect and segment stellate lesions based on their local features. The training is done by an expert presenting examples of stellate lesions to the system. With the data...
At Forschungszentrum Karlsruhe the demonstrator of a new medical imaging system based on 3D ultrasound computer tomography will be available at the beginning of 2005. This system requires not only the recording but also the processing of very large datasets of about 3.5 GBytes. On a single PC the reconstruction of a high resolution volume will take up to several weeks. However the reconstruction process...
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