论文题目:《Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and DualNormalization》 论文出处:CVPR2022 论文地址:论文链接 代码地址:代码链接 摘要 对于医学图像分割,想象一下,如果一个模型只在源域使用MR图像进行训练,它在目标域直接分割CT图像的性能如何?这种设置,即可泛化的跨模态分割...
This setting, namely generalizable cross-modality segmentation, owning its clinical potential, is much more challenging than other related settings, e.g., domain adaptation. To achieve this goal, we in this paper propose a novel dual-normalization model by leveraging the augmented source-similar and...
Deep learning enables cross-modality super-resolution in fluorescence microscopy. Nat. Methods 16, 103–110 (2018). PubMed PubMed Central Google Scholar Kim, I., Kim, Y. & Kim, S. Learning loss for test-time augmentation. Adv. Neural Inform. Process. Sys. 33, 4163–4174 (2020). ...
论文阅读24 | Leaning Compact and Representative Features for Cross-Modality Person Re-Identification 1. 网络框架 文章提出的网络框架其实和AGW没啥大的区别。由两个阶段组成,特征提取和特征嵌入。第一个阶段是两个参数不共享的分支,分别学习两种模式的独特特征;第二个阶段参数共享,将学习到的特征映射到一个...
of heart failure, ischaemic stroke and Parkinson’s disease with AUROCs of 0.794 (95% CI 0.792, 0.797), 0.754 (95% CI 0.752, 0.756) and 0.669 (0.65, 0.688), respectively. RETFound also performed significantly better than the other models when using OCT as the input modality. It achieved...
We conducted experiments on publicly available cross-site prostate and cross-modality abdominal image segmentation datasets. The results show that our DeSAM leads to a substantial performance improvement over previous state-of-the-art domain generalization methods. The codeis publicly available at https:...
the 3D modality generation (depths and point clouds) has been incorporated for these environments. Real-world robot data is also provided here. Algorithms. We provide the implementation of the following algorithms: DP3: dp3.yaml Simple DP3: simple_dp3.yaml Among these, dp3.yaml is the ...
RETFound also performed significantly better than the other models when using OCT as the input modality. It achieved significantly higher AUPR results in all tasks (Extended Data Fig. 3a). External evaluation on the UK Biobank (Fig. 3b) showed that RETFound and SSL-Retinal performed similarly ...
Moreover, we build an innovative plug-and-play sample pair attention (SPA) method to emphasize relevant negative pairs and suppress irrelevant ones, allowing cross-modality sample pairs to conduct more flexible alignment. Extensive experiments and visualizations show that our model outperforms the ...
We conducted experiments on publicly available cross-site prostate and cross-modality abdominal image segmentation datasets. The results show that our DeSAM leads to a substantial performance improvement over previous state-of-theart domain generalization methods. The code is publicly available at this ...