[ITK] [ITK-users] New Submission: Head and Neck Auto Segmentation Challenge based on Non-Local Generative Models

[MIDAS Journal]

Hello,

A new submission has been added to the MIDAS Journal.

Title: Head and Neck Auto Segmentation Challenge based on Non-Local Generative Models
Authors: Orbes Arteaga M., Cardenas Peña D., Castellanos Dominguez G.
Abstract:  We have presented a novel patch label fusion method based on a generative probabilistic approach for weighting the label votes of the neighborhood patches. Additionally a 3D sliding Gaussian window is used to combine the multiples estimations of the overlapping neighborhoods. The proposed method obtained 0.85, 0.93, and 0.76 of average DSC for Brainstem, Mandible, and Parotid glangs respectively.

Download and review this publication at: http://hdl.handle.net/10380/3539

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