[MICCAI2019]Integrating Cross-modality Hallucinated MRI with CT to Aid Mediastinal Lung Tumor
MICCAI2019 多模分割相关论文笔记 Integrating Cross-modality Hallucinated MRI with CT to Aid Mediastinal Lung Tumor Segmentation 开发了一种跨模式的学习方法，其中从 CT 生成的 MR 信息用于模拟 MRI 和改善 CT 分割。跨模态深度学习细分（CMEDL）通过对齐两者的特征，将 CT 和 C
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相关文章
- 1. 《MICCAI2019》Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmen
- 2. LEARNING VOLUMETRIC SEGMENTATION FOR LUNG TUMOR
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- 4. lung 分割论文
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- 8. X射线、CT、MRI、PET总结
- 9. lung cancer detection
- 10. Holistic classifcation of CT attenuation patterns for interstitial lung diseases via dcn论文记录