Webb21 dec. 2024 · In this paper, we proposed an improved 2D U-Net model integrated squeeze-and-excitation layer for prostate cancer segmentation. The proposed model combined a more complex 2D U-Net model and squeeze-and-excitation technique. The model consisted of an encoder stage and a decoder stage. Webb31 aug. 2024 · Nevertheless, Fig. 2 shows that both classical and Dense-2 U-net allow accurate segmentation of the prostate and its zones. However, in our investigation, Dense-2 U-net achieved a higher...
Automatic prostate and prostate zones segmentation of magnetic …
Webb11 apr. 2024 · In this paper, we proposed a novel architecture of convolutional neural network (CNN), namely Z-net, for segmenting prostate from magnetic resonance images … Webb9 dec. 2024 · Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer Xiangde Luo, Minhao Hu, Tao Song, Guotai Wang, Shaoting Zhang Recently, deep learning with Convolutional Neural Networks (CNNs) and Transformers has shown encouraging results in fully supervised medical image segmentation. lcm of 10 and 15 and 12
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WebbProstate Segmentation using 2D Bridged U-net. Xiaoying Tang, Yue Zhang, Yu Qiao, Wanli Chen, Hongjian Shi, Junjun He, Yifan Chen. In this paper, we focus on three problems in … WebbThe customized hybrid 3D-2D U-Net had a mean Dice score of 0.898 (range, 0.890-0.908) and a Pearson correlation coefficient for prostate volume of 0.974. Conclusion: A deep … WebbFirstly, U-net, as a popular model for medical image segmentation, is difficult to train when convolutional layers increase even though a deeper network usually has a better … lcm of 10 and 140