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Updated: May 11, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
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共同的半监督和对比学习使得域泛化和多域细分成为可能

Alvaro Gomariz1, Yusuke Kikuchi2, Yun Yvonna Li1

  • 1F Hoffmann-La Roche AG, Basel, Switzerland.

Medical image analysis
|April 17, 2025
PubMed
概括

新的深度学习框架SegCLR通过结合监督和对比学习来增强跨多个领域的图像细分. 即使使用有限的目标域数据,它也实现了强的性能,提高了概括性.

关键词:
域名通用化 域名通用化超越国土和地区的细分.自主监督学习学习零射击领域的适应.

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