Hierarchical modelling for unsupervised tumour segmentation in PET

This paper presents a fully automated and unsupervised method for the segmentation of tumours in PET images. The segmentation technique incorporates a pre-processing stage and a hierarchical approach based on an improved region-scalable energy fitting model. The advantages of the approach lie in its...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Ziming Zeng, Shepherd, T., Zwiggelaar, R.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Biomedical imaging Image segmentation Positron emission tomography
Online-Zugang:	Volltext bestellen
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