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Updated: Jan 20, 2026

Translaminar Autonomous System Model for the Modulation of Intraocular and Intracranial Pressure in Human Donor Posterior Segments
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Published on: April 24, 2020

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用nnU-net进行内动脉瘤细分:利用损失函数和自动血管提取

Maysam Orouskhani1, Negar Firoozeh1, Huayu Wang1,2

  • 1Department of Radiology, University of Washington, Seattle, WA 98195, USA.

Vessel plus
|January 19, 2026
PubMed
概括

这项研究引入了一种新的方法来细分内动脉瘤使用3DTOF-MRA图像和一个没有新的U-net框架. 该方法通过使用混合损失函数和血管信息来提高准确性,以更好地诊断和计划治疗.

关键词:
动脉瘤细分的划分这是TOF-MRA.在 nnU-Net 网络上.

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