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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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| Pubblicato in: | Med Image Anal |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2015
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| Soggetti: | |
| Accesso online: | 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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