Deep‐learning convolutional neural network: Inner and outer bladder wall segmentation in CT urography

PURPOSE: We are developing a computerized segmentation tool for the inner and outer bladder wall as a part of an image analysis pipeline for CT urography (CTU). MATERIALS AND METHODS: A data set of 172 CTU cases was collected retrospectively with Institutional Review Board (IRB) approval. The data s...

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Detalhes bibliográficos
Publicado no:Med Phys
Main Authors: Gordon, Marshall N., Hadjiiski, Lubomir M., Cha, Kenny H., Samala, Ravi K., Chan, Heang‐Ping, Cohan, Richard H., Caoili, Elaine M.
Formato: Artigo
Idioma:Inglês
Publicado em: John Wiley and Sons Inc. 2019
Assuntos:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6367014/
https://ncbi.nlm.nih.gov/pubmed/30520055
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13326
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