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Updated: May 10, 2026

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
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Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

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基于深度学习的自动化计算机断层扫描图像细分和感染性水龙的诊断模型的开发和验证:一个回顾性的多中心队列研究

Cong Lai1,2, Zhensheng Hu3, Jiamin Zhu4

  • 1Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510000, Guangdong, China.

EClinicalMedicine
|March 27, 2025
PubMed
概括

这项研究开发了一种自动化的深度学习模型,使用CT扫描来诊断传染性水 (IH),实现高精度. 这种非侵入性模型有助于及时做出水缩症患者的临床治疗决定.

关键词:
自动细分系统 自动细分系统深度学习是一种深度学习.传染性水龙化是感染性水龙化.脏CT扫描平面扫描非侵入性诊断是一种非侵入性诊断.

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Imaging Studies I: Kidney, Ureter, and Bladder Studies

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Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

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Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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Imaging Studies V: Intravenous Urography and Retrograde Pyelography01:22

Imaging Studies V: Intravenous Urography and Retrograde Pyelography

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Imaging Studies VI: Voiding Cystourethrography and Cystography

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