Multi-Atlas Segmentation with Joint Label Fusion

Multi-atlas segmentation is an effective approach for automatically labeling objects of interest in biomedical images. In this approach, multiple expert-segmented example images, called atlases, are registered to a target image, and deformed atlas segmentations are combined using label fusion. Among...

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Detaylı Bibliyografya
Asıl Yazarlar: Wang, Hongzhi, Suh, Jung W., Das, Sandhitsu R., Pluta, John, Craige, Caryne, Yushkevich, Paul A.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2012
Konular:
Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC3864549/
https://ncbi.nlm.nih.gov/pubmed/22732662
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TPAMI.2012.143
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