Pierre-Alain Tercier

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—In medical imaging, merging automated segmen-tations obtained from multiple atlases has become a standard practice for improving the accuracy. In this letter, we propose two new fusion methods: " Global Weighted Shape-Based Averaging " (GWSBA) and " Local Weighted Shape-Based Averaging " (LWSBA). These methods extend the well known Shape-Based Averaging(More)
Accurate segmentation of lymph nodes in head and neck (H&N) CT images is essential for the radiotherapy planning of the H&N cancer. Atlas-based segmentation methods are widely used for the automated segmentation of such structures. Multi-atlas approaches are proven to be more accurate and robust than using a single atlas. We have recently proposed a general(More)
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