Lymphocyte
发表于 2025-3-27 00:57:44
Md Mahfuzur Rahman Siddiquee,Dong Yang,Yufan He,Daguang Xu,Andriy Myronenko
愉快么
发表于 2025-3-27 01:14:24
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卡死偷电
发表于 2025-3-27 06:11:18
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Mortal
发表于 2025-3-27 10:16:09
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卧虎藏龙
发表于 2025-3-27 17:37:25
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dagger
发表于 2025-3-27 21:46:06
A Segmentation Network Based on 3D U-Net for Automatic Renal Cancer Structure Segmentation in CTA Imved the state-of-the-art, also Dice Similarity Coefficient (DSC) and Average Hausdorff Distance (AVD) of renal artery. According to the results in the KiPA22 challenge, our method have a better segmentation performance in CTA images.
典型
发表于 2025-3-27 23:24:55
Boundary-Aware Network for Kidney Parsinge are used as attention to enhance the segmentation feature maps. We evaluated the BA-Net on the Kidney PArsing (KiPA) Challenge dataset and achieved an average Dice score of 89.65. for kidney structures segmentation on CTA scans using 4-fold cross-validation. The results demonstrate the effectivene
表主动
发表于 2025-3-28 03:34:54
CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentatioation. Our solution is founded based on the thriving nn-UNet architecture. Firstly, by extending the channel size, we propose a larger network, which can provide a broader perspective, facilitating the extraction of complex structural information. Secondly, we include an axial attention catching(AAC
狂热语言
发表于 2025-3-28 07:34:42
Segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model witthis encoder as a pre-trained weight for the Intra-operative ultrasound (iUS) segmentation. In the second stage, the pre-trained weighted-based 3DResUNet proposed model was used to train on the training dataset for iUS segmentation. Experiment on CuRIOUS -22 challenge showed that our proposed soluti
安慰
发表于 2025-3-28 10:36:38
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