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Fully-Automated Segmentation of Nasopharyngeal Carcinoma on Dual-Sequence MRI Using Convolutional Neural Networks
In this study, we proposed an automated method based on convolutional neural network (CNN) for nasopharyngeal carcinoma (NPC) segmentation on dual-sequence magnetic resonance imaging (MRI). T1-weighted (T1W) and T2-weighted (T2W) MRI images were collected from 44 NPC patients. We developed a dense c...
שמור ב:
| הוצא לאור ב: | Front Oncol |
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| Main Authors: | , , , , , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Frontiers Media S.A.
2020
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7045897/ https://ncbi.nlm.nih.gov/pubmed/32154168 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2020.00166 |
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