方法 The goal of medical image synthesis is to generate high-quality synthetic data that can be employed for open research to argue the limited datasets and balance the training data, and finally hasten DL methodological advancements in medicine. In our study, we explore conditional GAN in the F...
联邦生成对抗网络基础医学图像合成中的后门攻击与防御 Methods 方法 The goal of medical image synthesis is to generate high-quality synthetic data that can be employed for open research to argue the limited datasets and balance the training data, and finally hasten DL methodological advancements in medic...
Generative Adversarial Networks (GANs) have the capability of synthesizing images, which have been successfully applied to medical image synthesis tasks. However, most of existing methods merely consider the global contextual information and ignore the fine foreground structures, e.g., vessel, skeleton,...
Experimental results demonstrate that the performance of the proposed method outperforms other competitive methods in terms of quantitative measures, qualitative displays, and evaluation metrics for classification. Index Terms—Medical image synthesis, generative adversarial network, bidirectional mapping mechanism...
[7] Chartsias A, Joyce T, Dharmakumar R, et al. Adversarial image synthesis for unpaired multi-modal cardiac data[C]//International workshop on simulation and synthesis in medical imaging. Springer, Cham, 2017: 3-13. 4 三维生成GAN
注:本文所提到的所有论文以及分类、叙述结构基本参考于: http://livingreview.in.tum.de/GANs_for_Medical_Applications/ 以及论文:GANs for Medical Image Analysis https://arxiv.org/abs/1809.06222 相关论文下载可通过第一个链接按照“subject”排序后找到“Synthesis”专题即可。
[9] Sun L, Chen J, Xu Y, et al. Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis[J]. IEEE journal of biomedical and health informatics, 2022, 26(8): 3966-3975. 5 如何进行实战 由于本次推荐的论文与图像生成、图像翻译都有关联,为了帮助大家掌握相关前置知识!我们推出了...
注:本文所提到的所有论文以及分类、叙述结构基本参考于:http://livingreview.in.tum.de/GANs_for_Medical_Applications/以及论文:GANs for Medical Image Analysishttps://arxiv.org/abs/1809.06222相关论文下载可通过第一个链接按照“subject”排序后找到“Synthesis”专题即可。
Image synthesis techniques have limited application in the medical field due to unsatisfactory authenticity and precision. Additionally, synthesizing diver
This makes cross-domain medical image synthesis a technology that is gaining popularity. We use the term “domain” herein to refer to different imaging modalities, contrast and parametric configurations, for example, for magnetic resonance imaging (MRI). We present a method, called DiCyc, that ...