[深度学习从入门到女装]H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volu
论文地址：H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes 这是一篇使用Unet改进进行医学图像分割的论文 对于传统的2DUnet由于只采取单一切片进行训练，只能得到intra-slice特征，无法得到inter-slice特征，对于3DUnet直接将整个3D图像放
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相关文章
- 1. 3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes-笔记
- 2. LEARNING VOLUMETRIC SEGMENTATION FOR LUNG TUMOR
- 3. 《UNet++: A Nested U-Net Architecture for Medical Image Segmentation》论文翻译
- 4. Learning Contextual and Attentive Information for Brain Tumor Segmentation
- 5. 论文翻译-LSTM Multi-modal UNet for Brain Tumor Segmentation
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- 7. Automatic Tumor Segmentation from MRI scans 阅读笔记
- 8. [MICCAI2019]Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT Using Two-Stream Chained
- 9. [TMI2019-05]HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation
- 10. 医学分割论文:Automatic Liver and Lesion Segmentation in CT Using Cascaded FCNN and 3D-CRF