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相关概念视频

Ultrasonography01:17

Ultrasonography

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Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called...
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Ultrasound I: Abdominal Ultrasonography01:20

Ultrasound I: Abdominal Ultrasonography

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Introduction:
Abdominal ultrasonography, commonly known as abdominal ultrasound, is a vital, non-invasive medical imaging technique widely used in healthcare.
Procedure:
This diagnostic tool allows the clinician to visually inspect internal structures within the abdomen, including vital organs such as the liver, gallbladder, pancreas, kidneys, and spleen.
The abdominal ultrasound process begins with applying a special gel to the patient's skin over the abdomen. This gel enhances the...
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Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

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IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
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Updated: Jan 13, 2026

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一项关于超声波成像用于甲状腺检测和分类的研究,使用机器学习和深度学习技术进行分类.

J Sathya1, S Ramkumar1

  • 1Department of Computer Science, Christ University, Bengaluru, India.

Semergen
|January 9, 2026
PubMed
概括

深度学习模型显著改善了超声波图像的甲状腺疾病诊断,与计算机辅助诊断 (CAD) 的传统方法相比,提供了更高的准确性和特异性. 这一进步有助于更好地检测和分类甲状腺异常.

关键词:
深入的学习 (DL)计算机辅助诊断 (CAD) 是一种计算机辅助诊断.卷积神经网络 (CNN) 是一种神经网络.深度学习 (DL) 是指深度学习.计算机辅助诊断 (CAD) 是指计算机辅助的诊断.生态图像的生态图像图像测试甲状腺的图像.神经神经网络 (CNN) 是一种神经网络.甲状腺是什么?甲状腺是什么?甲状腺成像测试测试甲状腺成像测试甲状腺炎是什么?甲状腺炎是什么?超声波图像中的超声波图像.

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科学领域:

  • 医疗成像医学成像
  • 人工智能的人工智能
  • 内分泌学 在内分泌学.

背景情况:

  • 甲状腺疾病很常见,并影响代谢功能.
  • 超声波是甲状腺异常的关键诊断工具,由于其非侵入性.
  • 计算机辅助诊断 (CAD) 系统对于分析超声波图像至关重要.

研究的目的:

  • 审查使用超声波图像进行甲状腺疾病检测和分类的CAD系统的最新进展.
  • 分析方法,数据集,绩效指标和现场挑战.
  • 确定研究缺口,并建议未来的方向在甲状腺超声波图像分析.

主要方法:

  • 关于用于甲状腺超声波的计算机辅助诊断 (CAD) 系统的文献综述.
  • 专注于传统的图像处理,机器学习和深度学习技术.
  • 卷积神经网络 (CNN) 的分析,用于结节细分和分类.

主要成果:

  • 深度学习模型表现出比传统技术更高的性能.
  • 通过深度学习方法实现的高精度,灵敏度和特异性.
  • 卷积神经网络 (CNN) 在结节细分和分类方面表现有前途.

结论:

  • 深度学习模型代表了甲状腺超声波图像分析的最新技术.
  • 需要进一步的研究来解决现有的差距,并提高CAD系统的能力.
  • 这些发现为未来的甲状腺疾病诊断研究提供了全面的概述.