Abdominal multi-organ segmentation from CT images using conditional shape–location and unsupervised intensity priors

This paper addresses the automated segmentation of multiple organs in upper abdominal computed tomography (CT) data. The aim of our study is to develop methods to effectively construct the conditional priors and use their prediction power for more accurate segmentation as well as easy adaptation to...

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Detaylı Bibliyografya
Yayımlandı:Med Image Anal
Asıl Yazarlar: Okada, Toshiyuki, Linguraru, Marius George, Hori, Masatoshi, Summers, Ronald M, Tomiyama, Noriyuki, Sato, Yoshinobu
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2015
Konular:
Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC4679509/
https://ncbi.nlm.nih.gov/pubmed/26277022
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2015.06.009
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