Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Radiological Investigation III: Pulmonary Angiogram and PET Scan01:13

Radiological Investigation III: Pulmonary Angiogram and PET Scan

92
Radiological investigations are paramount in the diagnosis and management of various pulmonary diseases. Two essential investigations are the Pulmonary Angiogram and the Positron Emission Tomography (PET) Scan.
Pulmonary Angiogram
A Pulmonary Angiogram is an invasive procedure involving injecting a contrast medium through a catheter threaded into the pulmonary artery or the right side of the heart to visualize the pulmonary vasculature. Computed Tomography (CT) scans have mainly replaced this...
92
Gross Anatomy of the Lungs01:17

Gross Anatomy of the Lungs

1.9K
The lungs are a pair of vital organs connected to the trachea via the left and right bronchi. The base of these organs meets the dome-shaped muscle known as the diaphragm. Encased by the pleurae, the lungs contact the mediastinum. The right lung is shorter yet wider, and has a larger volume than the left lung. The left lung has an indentation known as the cardiac notch. The superior region of the lungs is referred to as the apex, whereas the base is the lower region near the diaphragm. The...
1.9K
Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

120
Description
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
120

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

OTUD7B exacerbates atherosclerosis by promoting RIPK1-dependent vascular smooth muscle cell necroptosis.

Frontiers in cardiovascular medicine·2026
Same author

A hierarchical clinical fusion transformer model for personalized opioid treatment: Development and validation in diabetic surgical patients.

medRxiv : the preprint server for health sciences·2026
Same author

Links between the Archean hydrosphere and Earth's interior.

Nature communications·2026
Same author

C-glycoside synthesis via radical cross-coupling of glycohydrazides.

Nature·2026
Same author

High Spatial Resolution In Situ Fe Isotope Analysis by Laser Ablation Collision/Reaction Cell MC-ICP-MS: Application to Chang'e-6 Lunar Samples.

Analytical chemistry·2026
Same author

A supramolecular MgTA@MnO₂ nanozyme platform supports human spinal cord organoid structural integration and locomotor recovery via microenvironmental reprogramming.

Biomaterials advances·2026
Same journal

Mapping brain-wide monosynaptic inputs to single neurons with ROInet-seq.

Cell reports methods·2026
Same journal

Framework for evaluating in vitro vasculogenic mimicry using structural and metabolic parameters.

Cell reports methods·2026
Same journal

A standardized and reproducible behavioral framework to elicit multiple aspects of visual spatial attention in mice.

Cell reports methods·2026
Same journal

TACTIC: A transfer learning framework to predict drug interactions in emerging pathogens.

Cell reports methods·2026
Same journal

Large-scale discovery platform enables identification of peptides targeting drug-resistant candidiasis.

Cell reports methods·2026
Same journal

A computational method to design broad-spectrum T cell-inducing vaccines applied to Betacoronaviruses.

Cell reports methods·2026
查看所有相关文章

相关实验视频

Updated: Jul 4, 2025

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.4K

一个3D肺损伤变异自编码器.

Yiheng Li1, Christoph Y Sadée1, Francisco Carrillo-Perez2

  • 1Stanford Center for Biomedical Informatics Research (BMIR), Department of Medicine, Stanford University, Stanford, CA 94305, USA.

Cell reports methods
|January 26, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了用于肺癌成像的3Dβ变异自编码器 (β-VAE),改进了传统的放射学. 该模型准确地重建肺结节,并预测临床结果,显示患者预测结果的前景.

关键词:
3D肺结节合成 3D肺结节合成CP: 生物技术 生物技术CP:癌症生物学 癌症生物学计算机断层扫描 (CT) 扫描贝塔变量自编码器 (贝塔-VAE)肺癌成像检查 肺癌成像检查无线电学 (radiomics) 是一种无线电学.自主监督学习学习

更多相关视频

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

502
Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis
05:56

Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis

Published on: August 9, 2024

1.2K

相关实验视频

Last Updated: Jul 4, 2025

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.4K
Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

502
Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis
05:56

Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis

Published on: August 9, 2024

1.2K

科学领域:

  • 医疗成像中的人工智能
  • 计算病理学计算病理学
  • 无线电学和深度学习

背景情况:

  • 传统的放射学方法在分析复杂的肺癌成像数据方面存在局限性.
  • 深度学习方法为医疗图像的增强特征提取和分析提供了潜力.

研究的目的:

  • 开发和评估用于高级肺癌成像分析的3Dβ变异自编码器 (β-VAE).
  • 评估β-VAE在重建肺结节图像和编码病变特征方面的能力.
  • 探索模型在预测临床终点和患者结果方面的潜力.

主要方法:

  • 使用公共肺部计算机断层扫描 (CT) 数据集开发3Dβ变异自编码器 (β-VAE).
  • 重建3D肺结节图像,并使用结构相似性和峰值信号噪声比等指标评估重建质量.
  • 使用统一多重近似和投影 (UMAP) 来分析潜伏嵌入和损伤大小相关性来减少维度.
  • 通过操纵潜伏特征来合成新的肺病变.
  • 在放射遗传学数据集上预测临床终点 (例如,病态N阶段,KRAS突变状态).

主要成果:

  • 贝塔-VAE实现了高质量的3D肺结节图像重建 (SSIM: 0.774,PSNR: 26.1).
  • 潜伏嵌入有效编码损伤大小,在UMAP后显示显著的相关性.
  • 该模型展示了合成不同大小的新病变的能力.
  • β-VAE准确地预测了临床终点,性能与其他方法相比.

结论:

  • 开发的3Dβ-VAE超越了传统的放射学,推进了肺癌成像分析.
  • 该模型显示出强大的潜力,作为预训练的工具,用于预测医疗成像中的患者结果.
  • β-VAE为无监督特征学习和肺癌临床预测提供了一个强大的框架.