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Medical Image Segmentation by Combining Graph Cut and Oriented Active Appearance Models

In this paper, we propose a novel 3D segmentation method based on the effective combination of the active appearance model (AAM), live wire (LW), and graph cut (GC). The proposed method consists of three main parts: model building, initialization, and segmentation. In the model building part, we con...

詳細記述

保存先:
書誌詳細
出版年:IEEE Trans Image Process
主要な著者: Chen, Xinjian, Udupa, Jayaram K., Bağcı, Ulaş, Zhuge, Ying, Yao, Jianhua
フォーマット: Artigo
言語:Inglês
出版事項: 2012
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5548181/
https://ncbi.nlm.nih.gov/pubmed/22311862
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TIP.2012.2186306
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