A. Guvenis

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This paper presents a fusion algorithm combining two methods for pulmonary nodule segmentation in Chest CT scans. Segmentation is an important task for both diagnosis and therapy monitoring. Since manual segmentation of volumes is time-consuming and there is an inter-observer variability between each radiologist, there have been numerous studies on(More)
Positron emission tomography (PET) imaging has been proven to be useful in radiotherapy planning for the determination of the metabolically active regions of tumours. Delineation of tumours, however, is a difficult task in part due to high noise levels and the partial volume effects originating mainly from the low camera resolution. The goal of this work is(More)
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