相关实验视频

Updated: Jul 1, 2025

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

在胸部X射线成像中自我监督学习的有效性评估,以减少注释图像

Kuniki Imagawa¹, Kohei Shiomoto²

¹Faculty of Information Technology, Tokyo City University, 1-28-1 Tamazutsumi, Setagaya-ku, Tokyo, 158-8557, Japan. g2191401@tcu.ac.jp.

Journal of imaging informatics in medicine

|March 8, 2024

概括

使用SimCLR预训练的自主监督学习 (SSL) 对特定任务的未标记的胸部X射线 (CXR) 图像进行预训练,可以将标记数据的需求减少40%用于COVID-19分类. 与没有预训练相比,这种方法显著提高了性能.

科学领域:

医疗图像分析医疗图像分析
机器学习机器学习
医疗保健中的人工智能

背景情况:

由于标记数据的稀缺性,医学图像分析面临着挑战,这是劳动密集型的,需要专门的专业知识.
不准确的注释过程可以在机器学习模型中引入偏差.
自主监督学习 (SSL) 通过从未标记的数据中学习图像表示提供了一个有希望的解决方案,这可能会减少对标记数据集的依赖.

研究的目的:

调查使用自主监督学习 (SSL) 与特定任务未标记数据减少标记医疗图像数量的可行性.
评估SimCLR框架对未标记的胸部X射线 (CXR) 图像进行预训练的有效性,用于COVID-19分类.
确定预训练对特定任务的未标记图像和一般未标记图像对模型性能的影响.

主要方法:

利用SimCLR框架对未标记的胸部X射线 (CXR) 图像的数据集进行自我监督的预训.
使用监督学习方法对COVID-19和正常病例的二进制分类进行了微调.
将受训模型的表现与不同数量的标记数据和预训练策略进行比较.

主要成果:

在特定任务未标记的CXR图像上进行训练,可以减少约40%的标记数据,同时保持COVID-19分类的性能.
在SSL预训练方法显著优于没有预训练训练的模型.
相反,在使用一小组标记的CXR图像时,需要大量的一般未标记的图像来保持性能,无论任务的具体性如何.

结论:

针对特定任务的未标记数据对于有效的自我监督学习 (SSL) 至关重要,以减少对标记医疗图像的需求.
当应用到特定任务的未标记的胸部X射线 (CXR) 数据时,SimCLR框架显示了提高医疗图像分析效率的巨大潜力.
平衡未标记数据的数量及其特定任务的相关性是优化SSL用于医疗应用的关键.

关键词:

在 COVID-19 疫情中,胸部X射线胸部X射线减少标记数据的数据.自主监督学习学习

更多相关视频

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

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...

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...