相关实验视频

Updated: Jun 21, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

探索噪音和图像质量对DXA图像中的深度学习性能的影响

Dildar Hussain¹, Yeong Hyeon Gu¹

¹Department of Artificial Intelligence and Data Science, Sejong University, Seoul 05006, Republic of Korea.

Diagnostics (Basel, Switzerland)

|July 13, 2024

概括

深度学习模型,特别是完全卷积神经网络 (FCNN),在双能X射线 (DXA) 图像中显著改善股骨细分. 这提高了骨矿物质密度 (BMD) 的准确性,用于骨质疏松症诊断.

科学领域:

医疗成像医学成像
人工智能的人工智能
放射学放射学是一门学科.

背景情况:

双能量X射线 (DXA) 成像对大腿骨细分存在挑战,原因是对比度低,噪音和解剖学变化.
准确的股骨细分对于可靠的骨矿物质密度 (BMD) 评估至关重要,这对于诊断骨质疏松症等疾病至关重要.

研究的目的:

研究与深度学习 (DL) 模型集成的降噪技术对DXA图像中大腿骨细分精度的影响.
评估改进的细分对BMD计算和整体诊断能力的后续影响.

主要方法:

基于卷积神经网络 (CNN) 的模型,特别是完全卷积神经网络 (FCNN),被开发和训练用于股骨细分.
各种降噪过器被整合到DL管道中,以评估它们对细分性能和BMD准确性的影响.
该FCNN方法与传统的降噪算法和手动细分进行了基准测试.

主要成果:

在DXA图像中,FCNN模型实现了98.84%的高分段精度,用于DXA图像中的股骨.
来自FCNN细分的BMD测量显示出与既有方法的良好相关性 (0.9928),表明高精度.
与独立的降噪算法和手动细分相比,FCNN表现出优异的性能.

结论:

将降噪与DL模型 (特别是FCNN) 整合在一起,在DXA图像中大大提高了股骨细分.
该FCNN方法提供了一个强大的解决方案,以改善BMD计算,从而有助于精确的骨质疏松症的临床诊断.
这项研究强调了先进的DL技术在克服医学图像分析的局限性和改善患者诊断方面的潜力.

关键词:

FCN FCN FCN FCN FCN FCN FCN FCN FCN FCN 深度学习是一种深度学习.双能X射线吸收仪 (DXA) 是一种双能X射线吸收仪.过器过器过器这是不完美的不完美.噪音噪音噪音噪音骨质疏松症是一种骨质疏松症.细分化细分化的细分化

更多相关视频

Deep Neural Networks for Image-Based Dietary Assessment

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

相关概念视频

Ultrasonography

Ultrasonography

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...

X-ray Imaging

X-ray Imaging

German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...

Phase Contrast and Differential Interference Contrast Microscopy

Phase Contrast and Differential Interference Contrast Microscopy

Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...