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WP-UNet: Weight Pruning U-Net with Depth-wise Separable Convolutions for Semantic Segmentation of Kidney Tumours

机译：WP-UNET：重量修剪U-Net，具有深度明智的可分离卷曲，用于肾脏肿瘤的语义细分

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P Kiran Rao; Subarna Chatterjee; M Sreedhar Sha;
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1. MSS U-Net: 3D segmentation of kidneys and tumors from CT images with a multi-scale supervised U-Net [J] . Wenshuai Zhao, Dihong Jiang, Jorge Pe?a Queralta, Informatics in Medicine Unlocked . 2020,第3期

机译：MSS U-Net：来自CT图像的3D细分，具有多尺度监督U-Net的CT图像
2. Rethinking Separable Convolutional Encoders for End-to-End Semantic Image Segmentation [J] . Lin Wang, Xingfu Wang, Ammar Hawbani, Mathematical Problems in Engineering: Theory, Methods and Applications . 2021,第a期

机译：重新思考端到端语义图像分割的可分离卷积编码器
3. ADSCNet: asymmetric depthwise separable convolution for semantic segmentation in real-time [J] . Wang Jiawei, Xiong Hongyun, Wang Haibo, Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies . 2020,第4期

机译：Adscnet：实时语义分割的不对称深度可分离卷积
4. Real-Time Image Semantic Segmentation Networks with Residual Depth-Wise Separable Blocks [C] . Van-Viet Doan, Duy-Hung Nguyen, Quoc-Long Tran, International Symposium on Advanced Intelligent Systems;International Conference on Soft Computing and Intelligent Systems . 2018

机译：具有残差深度可分离块的实时图像语义分割网络
5. Semantic Segmentation Using Modified U-Net Architecture for Crack Detection [D] . Sun, Michael. 2020

机译：使用修改的U-NET架构进行裂纹检测的语义分割
6. Efficacy evaluation of 2D 3D U-Net semantic segmentation and atlas-based segmentation of normal lungs excluding the trachea and main bronchi [O] . Takafumi Nemoto, Natsumi Futakami, Masamichi Yagi, 2020

机译：评估不包括气管和主支气管的正常肺部2D3D U-Net语义分割和基于图集的分割的功效评估
7. WP-UNet: Weight Pruning U-Net with Depthwise Separable Convolutions for Semantic Segmentation of Kidney Tumors [O] . Patike Kiran Rao, Subarna Chatterjee 2021

机译：WP-UNET：重量修剪U-Net，具有深度可分离卷曲的肾肿瘤的语义分割

WP-UNet: Weight Pruning U-Net with Depth-wise Separable Convolutions for Semantic Segmentation of Kidney Tumours

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