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Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation
PURPOSE: Reliable automated segmentation of the prostate is indispensable for image‐guided prostate interventions. However, the segmentation task is challenging due to inhomogeneous intensity distributions, variation in prostate anatomy, among other problems. Manual segmentation can be time‐consumin...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Med Phys |
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| Κύριοι συγγραφείς: | , , , , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
John Wiley and Sons Inc.
2019
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6453726/ https://ncbi.nlm.nih.gov/pubmed/30702759 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13416 |
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