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Effects of Registration Regularization and Atlas Sharpness on Segmentation Accuracy

In this paper, we propose a unified framework for computing atlases from manually labeled data at various degrees of “sharpness” and the joint registration-segmentation of a new brain with these atlases. In non-rigid registration, the tradeoff between warp regularization and image fidelity is typica...

詳細記述

保存先:
書誌詳細
主要な著者: Yeo, B.T. Thomas, Sabuncu, Mert R., Desikan, Rahul, Fischl, Bruce, Golland, Polina
フォーマット: Artigo
言語:Inglês
出版事項: 2007
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC2858002/
https://ncbi.nlm.nih.gov/pubmed/18051118
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