相关实验视频

Updated: May 26, 2025

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

Published on: April 12, 2024

可解释的混合变压器用于使用胸部X射线对肺部疾病进行多重分类

Xiaoyang Fu¹, Rongbin Lin¹, Wei Du²

¹School of Computer Science, Zhuhai College of Science and Technology, Zhuhai, 519040, China.

Scientific reports

|February 24, 2025

概括

一个新的混合深度学习模型,LungMaxViT,通过胸部X射线增强肺部疾病的检测. 这种先进的模型在识别包括COVID-19在内的多种肺部疾病方面取得了很高的准确性,超过了现有的方法.

科学领域:

医疗成像医学成像
人工智能的人工智能
计算机视觉计算机视觉

背景情况:

肺部疾病是全球主要的死亡原因之一.
胸部X射线是一种具有成本效益的肺部疾病查工具.
深度学习模型越来越重要,用于从X射线图像中诊断肺部疾病.

研究的目的:

开发一种可解释的混合深度学习模型,用于使用胸部X射线图像进行多肺疾病分类.
通过新的网络架构来提高特征识别和诊断准确性.

主要方法:

建议LungMaxViT:一个混合变压器,结合CNN和SE块.
在两个公共X射线数据集上利用预训练模型 (ResNet50,MobileNetV2,ViT,MaxViT) 的转移学习.
应用了增强技术 (CLAHE,翻转,无色化) 和Grad-CAM,以提高可解释性.

主要成果:

LungMaxViT在COVID-19数据集上实现了96.8%的准确性,98.3%的AUC和96.7%的F1得分.
在胸部X射线14数据集中,LungMaxViT达到了93.2%的AUC和70.7%的F1得分.
LungMaxViT在经典的预训练模型和其他混合网络上表现出优越的性能.

结论:

拟议的LungMaxViT模型通过胸部X射线提供了对多种肺病变和COVID-19的强大和可泛化的检测.
像Grad-CAM这样的可解释AI技术证实了模型预测和临床解释之间的一致性.
LungMaxViT显示出有很大的潜力,可以帮助临床医生诊断肺部疾病.

更多相关视频

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

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

相关概念视频

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...

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...

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...