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Deep convolutional neural networks for automated segmentation of brain metastases trained on clinical data
Abstract Introduction Deep learning-based algorithms have demonstrated enormous performance in segmentation of medical images. We collected a dataset of multiparametric MRI and contour data acquired for use in radiosurgery, to evaluate the performance of deep convolutional neural networks (DCNN) in...
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| 主要な著者: | , , , , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BMC
2020-04-01
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| シリーズ: | Radiation Oncology |
| 主題: | |
| オンライン･アクセス: | http://link.springer.com/article/10.1186/s13014-020-01514-6 |
| タグ: |
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