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Automated Training of Deep Convolutional Neural Networks for Cell Segmentation
Deep Convolutional Neural Networks (DCNN) have recently emerged as superior for many image segmentation tasks. The DCNN performance is however heavily dependent on the availability of large amounts of problem-specific training samples. Here we show that DCNNs trained on ground truth created automati...
שמור ב:
| הוצא לאור ב: | Sci Rep |
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| Main Authors: | , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Nature Publishing Group UK
2017
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5552800/ https://ncbi.nlm.nih.gov/pubmed/28798336 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-07599-6 |
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