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AIRWAY LABELING USING A HIDDEN MARKOV TREE MODEL

We present a novel airway labeling algorithm based on a Hidden Markov Tree Model (HMTM). We obtain a collection of discrete points along the segmented airway tree using particles sampling [1] and establish topology using Kruskal’s minimum spanning tree algorithm. Following this, our HMTM algorithm p...

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書目詳細資料
發表在:Proc IEEE Int Symp Biomed Imaging
Main Authors: Ross, James C., Díaz, Alejandro A., Okajima, Yuka, Wassermann, Demian, Washko, George R., Dy, Jennifer, San José Estépar, Raúl
格式: Artigo
語言:Inglês
出版: 2014
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC4245147/
https://ncbi.nlm.nih.gov/pubmed/25436039
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2014.6867931
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