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Updated: Jun 25, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
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Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

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腹部多器官细分在多序MRI基于视觉注意力引导网络和知识蒸的基础上

Hao Fu1, Jian Zhang1, Bin Li2

  • 1Department of Automation, School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
|May 29, 2024
PubMed
概括

这项研究介绍了VAG-Net,这是一种深度学习模型,用于在MRI扫描中对腹部器官进行细分. VAG-Net有效地处理模糊的边界和低对比度区域,提高分段的准确性.

关键词:
腹部多器官细分 腹部多器官细分知识的蒸知识的蒸.不配对的多序列学习.在VAG-net上使用.

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