SC-UNet是一种用于医学图像分割的神经网络模型,它结合了传统的U-Net模型和空间注意力机制(Spatial Attention)。相比于传统的U-Net模型,SC-UNet在网络结构上进行了改进,引入了注意力机制,提高了图像分割的精度和效果。 二、U-Net模型 U-Net模型是一种常用的卷积神经网络,用于图像分割任务。它由对称的编码器和解码...
本发明公开了一种基于SCUnet++神经网络的肺栓塞CT图像识别分割方法,包括如下步骤:S1、构建用于识别分割肺栓塞CT图像的SCUnet++神经网络模型;S2、建立肺栓塞CT图像数据集,并划分为训练集和测试集;S3、使用训练集对SCUnet++神经网络模型进行训练,结合肺栓塞CT图像特点,对SCUnet++神经网络模型参数调优,得到最终分割网络模...
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SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation*... Y Chen,B Zou,Z Guo,... - IEEE 被引量: 0发表: 2023年 E2E-Swin-Unet++: An Enhanced End-to-End Swin-Unet Architecture With Dual Decoders For...
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The SCUNet++model was trained using publicly available fundus databases REFUGE and ORIGA. The method was tested on 370 fundus images. The Dice coefficient for disc segmentation was above 0.90 on both datasets, while for cup segmentation, it was slightly lower but still above 0.86. The test ...
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Background: The ongoing Phase Ib/II study (NCT03671018) evaluates mosunetuzumab (Mosun) plus polatuzumab vedotin (Pola; M-Pola) in pts with R/R LBCL. The Phase II single-arm expansion cohort showed a manageable safety profile and highly durable responses with M (IV administration)-Pola ...