TMI Watch IEEE Transactions on Medical Imaging metadata monitor

Volume 43, Issue 1

1 articles collected from IEEE Xplore web pages.

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Zihan Li, Yunxiang Li, Qingde Li, Puyang Wang, Dazhou Guo, Le Lu, Dakai Jin, You Zhang

Body Part 身体部位
Pending
Modality 模态
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Abstract / 摘要
English

Deep learning has been widely used in medical image segmentation and other aspects. However, the performance of existing medical image segmentation models has been limited by the challenge of obtaining sufficient high-quality labeled data due to the prohibitive data annotation cost. To alleviate this limitation, we propose a new text-augmented medical image segmentation model LViT (Language meets ...

中文

中文摘要翻译待生成

Author Info / 作者信息
Zihan Li Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Yunxiang Li Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Qingde Li Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Puyang Wang Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Dazhou Guo Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Le Lu Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
Dakai Jin Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
You Zhang Affiliation not provided by IEEE Xplore 机构中文翻译待生成或 IEEE 未提供机构
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