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Updated: Jun 16, 2025

A Methodological Approach to Non-invasive Assessments of Vascular Function and Morphology

A Methodological Approach to Non-invasive Assessments of Vascular Function and Morphology

Published on: February 7, 2015

[基于深度学习的人工智能模型,用于自动识别状腺斑块]

Lan He¹, E Shen², Zekun Yang³

¹Department of Ultrasound Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030.

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation

|August 18, 2024

概括

此摘要是机器生成的。

一个新的深度学习模型,单输入 BCNN-ResNet,在超声波图像中准确地检测出动脉斑块. 这个人工智能工具帮助医生进行诊断,在内部和外部验证研究中表现出很高的表现.

科学领域:

医疗成像医学成像
人工智能的人工智能
心血管疾病心血管疾病

关键词:

冠状动脉超声波冠状动脉超声波深度学习是一种深度学习.单个输入的 BCNN-ResNet 网络模型

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