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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...
Tallennettuna:
| Julkaisussa: | Med Phys |
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| Päätekijät: | , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
John Wiley and Sons Inc.
2019
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| Aiheet: | |
| Linkit: | 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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