Coenzyme
发表于 2025-3-21 20:08:49
书目名称Kidney and Kidney Tumor Segmentation影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0542692<br><br> <br><br>书目名称Kidney and Kidney Tumor Segmentation影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0542692<br><br> <br><br>书目名称Kidney and Kidney Tumor Segmentation网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0542692<br><br> <br><br>书目名称Kidney and Kidney Tumor Segmentation网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0542692<br><br> <br><br>书目名称Kidney and Kidney Tumor Segmentation被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0542692<br><br> <br><br>书目名称Kidney and Kidney Tumor Segmentation被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0542692<br><br> <br><br>书目名称Kidney and Kidney Tumor Segmentation年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0542692<br><br> <br><br>书目名称Kidney and Kidney Tumor Segmentation年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0542692<br><br> <br><br>书目名称Kidney and Kidney Tumor Segmentation读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0542692<br><br> <br><br>书目名称Kidney and Kidney Tumor Segmentation读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0542692<br><br> <br><br>
Exonerate
发表于 2025-3-21 22:29:38
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Allure
发表于 2025-3-22 03:43:17
,Extraction of Kidney Anatomy Based on a 3D U-ResNet with Overlap-Tile Strategy,, while a rule-based postprocessing was applied to remove false-positive artefacts. Our model achieved 0.812 average dice, 0.694 average surface dice and 0.7 tumor dice. This led to the 12.5th position in the KiTS21 challenge.
惰性女人
发表于 2025-3-22 08:23:50
,An Ensemble of 3D U-Net Based Models for Segmentation of Kidney and Masses in CT Scans,tions, including the use of transfer learning, an unsupervised regularized loss, custom postprocessing, and multi-annotator ground truth that mimics the evaluation protocol. Our submission has reached the 2nd place in the KiTS21 challenge.
fatuity
发表于 2025-3-22 09:53:16
,Automated Kidney Tumor Segmentation with Convolution and Transformer Network,r improve segmentation performance. Experimental results on the 2021 kidney and kidney tumor segmentation (kits21) challenge demonstrated that our method achieved average dice of 61.6%, surface dice of 49.1%, and tumor dice of 50.52%, respectively, which ranked the . place on the kits21 challenge.
conscience
发表于 2025-3-22 13:02:53
,A Two-Stage Cascaded Deep Neural Network with Multi-decoding Paths for Kidney Tumor Segmentation,. We evaluated our method on the 2021 Kidney and Kidney Tumor Segmentation Challenge (KiTS21) dataset. The method achieved Dice score, Surface Dice and Tumor Dice of 69.4%, 56.9% and 51.9% respectively, in the test cases. The model of cascade network proposed in this paper has a promising application prospect in kidney cancer diagnosis.
Aqueous-Humor
发表于 2025-3-22 17:50:44
2.5D Cascaded Semantic Segmentation for Kidney Tumor Cyst,work ResSENormUnet; then, the kidney and the tumor and cyst are fine-segmented by the second stage network DenseTransUnet, and finally, a post-processing operation based on a 3D connected region is used for the removal of false-positive segmentation results. We evaluate this approach in the KiTS21 challenge, which shows promising performance.
背带
发表于 2025-3-22 21:56:08
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繁荣地区
发表于 2025-3-23 03:21:31
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离开就切除
发表于 2025-3-23 08:49:48
,A Coarse-to-Fine Framework for the 2021 Kidney and Kidney Tumor Segmentation Challenge,ion of the kidney and kidney mass. The average Dice and surface Dice of segmentation predicted by our method on the test are 0.9077 and 0.8262, respectively. Our method outperformed all other teams and achieved . in the KITS2021 challenge.