[MICCAI2019]Integrating Cross-modality Hallucinated MRI with CT to Aid Mediastinal Lung Tumor
MICCAI2019 多模分割相關論文筆記 Integrating Cross-modality Hallucinated MRI with CT to Aid Mediastinal Lung Tumor Segmentation 開發了一種跨模式的學習方法，其中從 CT 生成的 MR 信息用於模擬 MRI 和改善 CT 分割。跨模態深度學習細分（CMEDL）通過對齊兩者的特徵，將 CT 和 C
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相關文章
- 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 分割論文
- 5. Automatic Tumor Segmentation from MRI scans 閱讀筆記
- 6. 3D MRI brain tumor segmentation using autoencoder regularization
- 7. Brain tumor segmentation with Deep Neural Networks
- 8. X射線、CT、MRI、PET總結
- 9. lung cancer detection
- 10. Holistic classifcation of CT attenuation patterns for interstitial lung diseases via dcn論文記錄