Brain tumor segmentation with Deep Neural Networks
理解 Brain tumor segmentation with Deep Neural Networks。 一、摘要 1. 基於DNNs提出了一種 fully automatic brain tumor segmentation 方法。 2. 提出的方法適用於MRI中的膠質瘤。 3. 提出的CNN方法探索局部特徵的時候同時探索更多的全局上下文特徵。 4. 網絡用卷積實現了最後一層
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相關文章
- 1. Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks
- 2. One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation
- 3. A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
- 4. Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks
- 5. 論文筆記：A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
- 6. ImageNet Classification with Deep Convolutional Neural Networks
- 7. AlexNet：ImageNet Classification with Deep Convolutional Neural Networks
- 8. ImageNet Classification with Deep Convolutional Neural Networks
- 9. Learning Contextual and Attentive Information for Brain Tumor Segmentation
- 10. 3D MRI brain tumor segmentation using autoencoder regularization