Navigating Distribution Shifts in Medical Image Analysis: A Survey
Medical Image Analysis (MedIA) has become indispensable in modern healthcare,
enhancing clinical diagnostics and personalized treatment. Despite the remarkable …
enhancing clinical diagnostics and personalized treatment. Despite the remarkable …
An extensive pixel-level augmentation framework for unsupervised cross-modality domain adaptation
MGB Calisto, SK Lai-Yuen - Medical Imaging 2023: Image …, 2023 - spiedigitallibrary.org
Convolutional neural networks (CNNs) have achieved great success in automating the
segmentation of medical images. Nevertheless, when a trained CNN is tested on a new …
segmentation of medical images. Nevertheless, when a trained CNN is tested on a new …
[HTML][HTML] 不平衡小样本基于局部域对抗适应网络的发动机振动预测模型
季友昌， 袁伟伟， 毛善斌， 任春红， 关东海 - 智能系统学报, 2023 - html.rhhz.net
在发动机振动预测中, 实际装配数据样本量小且类别不平衡, 难以直接建立有效的预测模型.
迁移学习方法能够通过迁移源域知识来提高目标域模型性能, 为此, 本文提出了基于局部域对抗 …
迁移学习方法能够通过迁移源域知识来提高目标域模型性能, 为此, 本文提出了基于局部域对抗 …
Review of Unsupervised Domain Adaptation in Medical Image Segmentation.
HU Wei, XU Qiaozhi, GE Xiangwei… - Journal of Computer …, 2024 - search.ebscohost.com
Medical image segmentation has broad application prospects in the field of medical image
processing, providing auxiliary information for diagnosis and treatment by locating and …
processing, providing auxiliary information for diagnosis and treatment by locating and …