corn732 发表于 2025-3-23 10:05:13
http://reply.papertrans.cn/27/2628/262794/262794_11.pngEVEN 发表于 2025-3-23 15:30:30
,A Client-Server Deep Federated Learning for Cross-Domain Surgical Image Segmentation,common to both the source and target domains. The clients consist of the respective domain-specific parameters and make requests to the server while learning their parameters and inferencing. We evaluate our framework in two benchmark datasets, demonstrating applicability in computer-assisted intervdeadlock 发表于 2025-3-23 19:53:21
http://reply.papertrans.cn/27/2628/262794/262794_13.png打击 发表于 2025-3-24 02:09:06
http://reply.papertrans.cn/27/2628/262794/262794_14.png假设 发表于 2025-3-24 02:58:48
http://reply.papertrans.cn/27/2628/262794/262794_15.pngPulmonary-Veins 发表于 2025-3-24 10:31:25
http://reply.papertrans.cn/27/2628/262794/262794_16.pngtackle 发表于 2025-3-24 12:32:27
,Investigating Transformer Encoding Techniques to Improve Data-Driven Volume-to-Surface Liver Registation. However, view occlusion, lack of meaningful feature landmarks, and liver deformation between the pre- and intra-operative settings all contribute to the difficulty of this registration task. In this work, we leverage some of the state-of-the-art deep learning frameworks to implement and test违法事实 发表于 2025-3-24 16:18:52
,Task-Guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy,rom real data and overfit to synthetic anatomies and properties. This work proposes a novel approach to leverage labeled synthetic and unlabeled real data. While previous domain adaptation methods indiscriminately enforce the distributions of both input data modalities to coincide, we focus on the eCharlatan 发表于 2025-3-24 19:07:56
http://reply.papertrans.cn/27/2628/262794/262794_19.png贫穷地活 发表于 2025-3-24 23:38:58
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