Automatic Multi-organ Segmentation on Abdominal CT with Dense V-networks

Automatic segmentation of abdominal anatomy on computed tomography (CT) images can support diagnosis, treatment planning and treatment delivery workflows. Segmentation methods using statistical models and multi-atlas label fusion (MALF) require inter-subject image registrations which are challenging...

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Vydáno v:IEEE Trans Med Imaging
Hlavní autoři: Gibson, Eli, Giganti, Francesco, Hu, Yipeng, Bonmati, Ester, Bandula, Steve, Gurusamy, Kurinchi, Davidson, Brian, Pereira, Stephen P., Clarkson, Matthew J., Barratt, Dean C.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2018
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Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6076994/
https://ncbi.nlm.nih.gov/pubmed/29994628
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2018.2806309
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