Yoav Taieb

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We present a new method for the simultaneous, nearly automatic segmentation of liver contours, vessels, and metastatic lesions from abdominal CTA scans. The method repeatedly applies multi-resolution, multi-class smoothed Bayesian classification followed by morphological adjustment and active contours refinement. It uses multi-class and voxel neighborhood(More)
Purpose We present a new algorithm for nearly automatic liver segmentation and volume estimation from abdominal Computed Tomography Angiography (CTA) images and its validation. Materials and methods Our hybrid algorithm uses a multire-solution iterative scheme. It starts from a single user-defined pixel seed inside the liver, and repeatedly applies smoothed(More)
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