论文翻译-LSTM Multi-modal UNet for Brain Tumor Segmentation

时间 2020-12-30

标签论文学习繁體版

原文原文链接

用于脑肿瘤分割的LSTM多模态神经网络论文地址链接：https://pan.baidu.com/s/1HuPtnRvVuTgiwv8FZh0juw 提取码：xvsu github地址 https://github.com/HowieMa/lstm_multi_modal_UNet 摘要——卷积神经网络等深度学习模型已广泛应用于三维生物医学图像分割。然而，它们中的大多数既没有考虑不同模态之间的相关

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1. UNet++ 论文翻译
2. Learning Contextual and Attentive Information for Brain Tumor Segmentation
3. 《UNet++: A Nested U-Net Architecture for Medical Image Segmentation》论文翻译
4. 论文笔记：A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
5. [论文翻译]UNet++: A Nested U-Net Architecture for Medical Image Segmentation
6. Brain tumor segmentation with Deep Neural Networks
7. 3D MRI brain tumor segmentation using autoencoder regularization
8. LEARNING VOLUMETRIC SEGMENTATION FOR LUNG TUMOR
9. 【论文翻译】Fully Convolutional Networks for Semantic Segmentation
10. Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks
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1. UNet++ 论文翻译
2. Learning Contextual and Attentive Information for Brain Tumor Segmentation
3. 《UNet++: A Nested U-Net Architecture for Medical Image Segmentation》论文翻译
4. 论文笔记：A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
5. [论文翻译]UNet++: A Nested U-Net Architecture for Medical Image Segmentation
6. Brain tumor segmentation with Deep Neural Networks
7. 3D MRI brain tumor segmentation using autoencoder regularization
8. LEARNING VOLUMETRIC SEGMENTATION FOR LUNG TUMOR
9. 【论文翻译】Fully Convolutional Networks for Semantic Segmentation
10. Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks

>>更多相关文章<<