Deep Geodesic Learning for Segmentation and Anatomical Landmarking

6 Oct 2018Neslisah TorosdagliDenise K. LibertonPayal VermaMurat SincanJanice S. LeeUlas Bagci

In this paper, we propose a novel deep learning framework for anatomy segmentation and automatic landmark- ing. Specifically, we focus on the challenging problem of mandible segmentation from cone-beam computed tomography (CBCT) scans and identification of 9 anatomical landmarks of the mandible on the geodesic space... (read more)

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