基于生理学的无监督学习,用于对胸部COVID-19病变进行细分3DCT扫描
Cheng Wang1, Zhiqiang Cai2, Yao Zhang2
1School of Physics and Optoelectronic Engineering, Yangtze University, Jingzhou, China.
Medical physics
|August 14, 2025
概括
这项研究引入了一种无监督的深度学习方法,用于在CT扫描中对COVID-19病变进行细分,从而消除了对放射科医生培训数据的需求. 这种新的方法可以准确地识别病变,提高临床实践的效率.
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:
- 在CT扫描中用于COVID-19病变细分的深度学习 (DL) 需要放射科医生进行广泛的手动标签.
- 这种手动注释是耗时的,劳动密集的,并且阻碍了DL方法的广泛临床应用.
研究的目的:
- 开发一种无监督深度学习 (DL) 分段方法,用于胸部CT扫描中的COVID-19病变.
- 目标是消除在培训阶段需要手动放射科医生标签的需要.
主要方法:
- 提出了一种新的自我学习细分方法,利用患者内在生理学而不是放射科医生的专业知识.
- 该方法涉及使用基线和后续CT扫描创建自我标签的自我注释模块,以及在这些自我标签上训练DL模型 (Model-S) 的培训模块.
- 模型S的性能与地面真相和放射科医生训练的模型 (模型M) 相比进行了评估.
主要成果:
- 与手工标签相比,自标签实现了93.0%±10.5%的高子相似系数 (DSC),与损伤体积 (r=0.99) 有很强的相关性.
- 模型-S表现出强的性能,与地面真相相比的DSC为82.1%±6.0%,与模型-M (83.4%±5.2%) 相比.
- 在S模型和基准真相 (r=0.99) 之间以及S模型和M模型 (r=0.98) 之间的损伤体积之间观察到高相关性.
结论:
- 拟议的无监督细分方法在3DCT扫描中准确地细分COVID-19病变.
- 这种方法成功地避免了在该方法的开发和培训过程中需要手动放射科医生标签.
相关概念视频
01:10Computed Tomography
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
01:28Imaging Studies for Cardiovascular System V: CT
Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...