本文提出的医学图像分割中的无监督域自适应方法如Figure 2所示,协同图像和特征的适应性来缩小域之间的差距。 Image Adaptation for Appearance Alignment 为方便阐述,定义来自源域Xs带有标记的样本{xis,yis}i=1N,目标域Xt中没有标记的数据表示为{xjt}j=1M,Image Adaptation的目的是将xs的外观朝着xt的外观调整,得...
第一次看domain adaptation的project 是在19年 UCL的summer school看到了窦琪老师的oral,然后就一直follow她的论文,觉得很有意思。 这两篇论文窦琪老师组的采用supervised method解决domain adaptation的论文,下次我们介绍一下unsupervised methods 解决source domain with annatation transfer 到 target domain without annotati...
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image,程序员大本营,技术文章内容聚合第一站。
基本信息 1. 标题:DomainATM: Domain adaptation toolbox for medical data analysis. 2. 期刊:NeuroImage 3. IF/JCR/分区:7.4/Q1/中科院一区 4. DOI:10.1016/j.neuroimage.2023.119863 目录 1、导读 2、背景动机 3、研究目的 4、工具箱介绍 5、测试试验 6、局限不足 1 导读 域适应(DA)是基于机器学习的...
域适应（Domain Adaptation, DA）和域泛化（Domain Generalization, DG）是机器学习模型开发中的关键技术，旨在应对模型从一个特定域应用到另一个域时可能出现的变异性。在医学影像领域，DA 和 DG 技术对于创建能够稳健处理不同医疗机构、成像设备和患者群体之间的变异性的模型至关重要。本文旨在探讨域转移背景下的公平...
Unsupervised domain adaptation (UDA) is one of the key technologies to solve a problem where it is hard to obtain ground truth labels needed for supervised learning. In general, UDA assumes that all samples from source and target domains are available during the training process. However, this ...
adaptationdomainsynergisticimagesegmentationmodality SynergisticImageandFeatureAdaptation:TowardsCross-ModalityDomainAdaptationforMedicalImageSegmentationChengChen1,QiDou1,HaoChen1,2,JingQin3,andPheng-AnnHeng1,41DepartmentofComputerScienceandEngineering,TheChineseUniversityofHongKong2ImsightMedicalTechnologyCo.,Ltd.,China...
1. 【Domain Adaptation】Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation 【领域自适应】通过深度协同图像和特征对齐进行无监督双向跨模态适应,用于医学图像分割 作者:Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng Ann Heng ...
论文阅读——MI2GAN: Generative Adversarial Network for Medical Image Domain Adaptation,程序员大本营,技术文章内容聚合第一站。
2021-08-19-Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation(AAAI 2019Oral)-有代码 代码链接:https://github.com/cchen-cc/SIFA 这篇文章是做什么的:跨模态图像合成\无监督心脏结构(cardiac)医学图像分割(多任务) ...