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Volume measurement of liver tumor is an important task for surgical planning and cancer following-up. The computation of this volume requires an efficient liver tumor segmentation method. This work deals with liver tumor segmentation from computed tomography (CT) images. We are interested by HMRF-EM classification method. This method considers the spatial information given by voxel neighbors. A Bootstrap...
Modern multislice computed tomography (CT) scanners produce isotropic CT images with a thickness of 0.6 mm. These CT images offer detailed information of lung cavities, which could be used for better surgical planning of treating lung cancer. The major challenge for developing a surgical planning system is the automatic segmentation of lung lobes by identifying the lobar fissures. This paper presents...
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