Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation 来自 Semantic Scholar 喜欢 0 阅读量: 576 作者:C Chen,Q Dou,H Chen,J Qin,PA Heng 摘要: Unsupervised domain adaptation has increasingly gained interest in medical image ...
A novel Generative Adversarial Networks (GAN) based bidirectional cross-modality unsupervised domain adaptation (GBCUDA) framework is developed for cardiac image segmentation, which can effectively tackle the problem of network's segmentation performance degradation when adapting to the target domain without...
Wavelet-based spectrum transfer with collaborative learning for unsupervised bidirectional cross-modality domain adaptation on medical image segmentationUnsupervised domain adaptationMedical image segmentationWavelet transformCollaborative learningUnsupervised cross-modality domain adaptation for medical image segmentation ...
(i) We firstly extend the no prior-aware source-free unsupervised domain adaptation method to bidirectional cross-modality medical image segmentation with unpaired CT and MR images. (ii) The proposed source-free unsupervised domain adaptation framework organically combines feature alignment, image alignmen...
Bert: Pre-training of deep bidirectional trans- formers for language understanding. In NAACL-HLT, 2019. [17] B. Everitt and A. Skrondal. Comprar the cambridge dictio- nary of statistics — b. s. everitt — 9780521766999 — cam- bridge university press. ...
* CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation* 链接: arxiv.org/abs/2207.0737* 作者: Jianwei Lin,Jiatai Lin,Cheng Lu,Hao Chen,Huan Lin,Bingchao Zhao,Zhenwei Shi,Bingjiang Qiu,Xipeng Pan,Zeyan Xu,Biao Huang,...
Unsupervised domain adaptation (UDA) for cross-modality medical image segmentation has shown great progress by domain-invariant feature learning or image appearance translation. Feature-level adaptation based methods learn good domain-invariant features
Wavelet-based spectrum transfer with collaborative learning for unsupervised bidirectional cross-modality domain adaptation on medical image segmentation Unsupervised cross-modality domain adaptation for medical image segmentation has made great progress with the development of adversarial learning-based met... ...
Domain adaptationMulti-modalitySegmentationDomain shift happens in cross-domain scenarios commonly because of the wide gaps between different domains: when applying a deep learning model well-trained in one domain to another target domain, the model usually performs poorly. To tackle this problem, ...
[Google Scholar] [CrossRef] [Green Version] Chen, C.; Dou, Q.; Chen, H.; Qin, J.; Heng, P.A. Unsupervised bidirectional cross-modality adaptation via deeply synergistic image and feature alignment for medical image segmentation. IEEE Trans. Med. Imaging 2020, 39, 2494–2505. [Google ...