Insight Journal

Head and Neck Auto Segmentation Challenge based on Non-Local Generative Models
Published in The MIDAS Journal

Orbes Arteaga M., Cardenas Peña D., Castellanos Dominguez G.

A new patch based label fusion method based on generative approach is proposed for segmentation of mandible, brainstem, parotid and submandibular glands, optic nerves and the optic chiasm in head and neck CT images. The proposal constructs local classifiers [...]

downloaded 1336 times, viewed 10150 times and no review.

A patch-based framework for new ITK functionality: Joint fusion, denoising, and non-local super-resolution
Published in The Insight Journal

Tustison N., Avants B., Wang H., Xie L., Coupe P., Yushkevich P., Manjon J.

In an earlier Insight Journal article, we introduced an ITK implementation of the adaptive patch-based image denoising algorithm described in [3]. We follow-up up that offering with a generalized non-local, patch-based ITK class framework and a refactored [...]

downloaded 2570 times, viewed 18361 times and no review.

Head and Neck Auto Segmentation Challenge based on Non-Local Generative Models
Published in The MIDAS Journal

Orbes Arteaga M., Cárdenas Peña D., Castellanos Dominguez G.

A new patch based label fusion method based on generative approach is proposed for segmentation of mandible, brainstem, parotid and submandibular glands, optic nerves and the optic chiasm in head and neck CT images. The proposal constructs local classifiers [...]

downloaded 1186 times, viewed 12458 times and no review.

Sort results by

Refine the search results

Keywords

Authors