相关实验视频

Updated: Jun 9, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

胸部X射线图像:COVID-19检测中的转移学习模型

Siqi Mao¹, Saltanat Kulbayeva², Mikhail Osadchuk³

¹Department of Statistics, Florida State University, Tallahassee, Florida, USA.

Journal of evaluation in clinical practice

|October 28, 2024

概括

这项研究开发了一种有效的机器学习算法,用于从胸部X射线中诊断COVID-19. 该新方法与现有模型相比,显示出更高的准确性和灵敏性,有助于早期发现传染病.

科学领域:

医疗成像医学成像
机器学习机器学习
医疗保健中的人工智能

背景情况:

准确及时诊断COVID-19对于有效的疾病管理和控制至关重要.
胸部X射线是用于评估呼吸系统疾病的可广泛使用的成像方法.
对于COVID-19等传染病,现有的诊断方法可能在速度和准确性方面存在局限性.

研究的目的:

开发和评估一个强大的算法来诊断COVID-19,肺炎和正常病例使用胸部X射线图像.
为了利用转移学习和支持矢量机来提高诊断性能.
将拟议的算法的有效性与最先进的模型进行比较.

主要方法:

从10个诊所收集了10,000张胸部X射线 (5000张正常,3993张肺炎,1007张COVID-19) 的多样化数据集.
机器学习模型,包括转移学习和支持向量机器,用于分类.
开发的模型的性能与七个最先进的模型和轻量级的CNN架构进行了基准测试.

主要成果:

拟议的方法实现了高精度 (COVID-19的0.95,肺炎的0.89,正常的0.92) 和灵敏度 (COVID-19的0.96,肺炎的0.88,正常的0.93).
该算法在统计学上显著优于大多数比较模型,具有高的皮尔森相关系数 (0.89-0.94).
外部数据集验证证实了该模型在各种临床环境中的可通用性和有效性.

结论:

机器学习为推进医学诊断,特别是传染病的诊断提供了巨大的潜力.
开发的算法显示了提高COVID-19诊断的效率和准确性的承诺.
这项研究为AI在医疗实践和疾病控制中的创新应用铺平了道路.

关键词:

有效网-B0 有效网-B0 诊断诊断诊断诊断诊断诊断诊断效率诊断效率诊断效率在支持矢量机器支持矢量机器转移学习转移学习

更多相关视频

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

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

相关概念视频

Radiological Investigation I: X-ray and CT

Radiological Investigation I: X-ray and CT

Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...

Imaging Studies for Cardiovascular System III: X-Ray

Imaging Studies for Cardiovascular System III: X-Ray

The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
Definition and Purpose
An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...