Search research articles

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 Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

Radiological Investigation III: Pulmonary Angiogram and PET Scan

Radiological Investigation III: Pulmonary Angiogram and PET Scan

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...

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

Unpacking GenAI-enabled deep learning engagement: role perceptions, human-GenAI synergy strategies, and underlying mechanisms.

Frontiers in psychology·2026

Same author

Organic Charge-Transfer Dielectric Cocrystals for Flexible Triboelectric Nanogenerators and Wearable Application.

Small (Weinheim an der Bergstrasse, Germany)·2026

Same author

Zeptomolar heavy metal ion detection with density of states sensing.

Nanoscale·2026

Same author

MSDDG: Multi-scale dual-discriminator GAN for point cloud completion of plant.

Plant phenomics (Washington, D.C.)·2026

Same author

HYPER-Net: Physics-Conditioned Self-Supervised Reconstruction for Fourier Light-Field Microscopy.

bioRxiv : the preprint server for biology·2026

Same author

Synaptic κ-Ga<sub>2</sub>O<sub>3</sub> Photodetectors for Privacy-Enhancing Neuromorphic Computing.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Same journal

Self-supervised isotropic reconstruction for abnormality detection in anisotropic MRI.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026

Same journal

WDBDM: Wavelet-based dual-branch diffusion model for low-dose CT and PET denoising.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026

Same journal

ScribSAM: A robust scribble-supervised framework for spatiotemporal segmentation of breast lesions in ultrasound videos.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026

Same journal

Anatomically and biochemically guided deep image prior for sodium MRI denoising.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026

Same journal

Segment Anything Model for medical image segmentation: A review.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026

Same journal

HiCAF-Net: A Hierarchical Cross-Attention Fusion framework for cross-cancer subtype classification using histopathological and genomic data.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026

查看所有相关文章

Search research articles

相关实验视频

Updated: May 27, 2025

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Published on: May 19, 2023

基于先前知识的多任务学习网络,用于肺结节分类.

Peng Xue¹, Hang Lu¹, Yu Fu¹

¹School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, 264209, China.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society

|February 19, 2025

概括

此摘要是机器生成的。

这项研究引入了一个新的基于先前知识的多任务学习网络,用于肺结节的分类. 该方法有效地利用属性相关性,在恶性结节诊断中达到最先进的91.04%的准确性.

关键词:

功能融合的特点是:超图形神经网络的神经网络.多任务学习是多任务学习.肺结节的分类肺结节的分类转移学习转移学习

更多相关视频

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

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

Published on: October 13, 2023

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

相关实验视频

Last Updated: May 27, 2025

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Published on: May 19, 2023

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

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

Published on: October 13, 2023

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

科学领域:

医疗成像医学成像
人工智能的人工智能
计算机辅助诊断计算机辅助诊断

背景情况:

肺结节的分类依赖于形态属性,但现有的模型经常忽视属性相关性.
对良性与恶性肺结节的准确分类对于患者的治疗结果至关重要.

研究的目的:

开发一种先进的肺结节分类模型,包括固有的属性相关性.
通过使用新型网络架构,提高肺结节诊断的准确性和全面性.

主要方法:

提出了一个基于先前知识的多任务学习 (PK-MTL) 网络.
处理属性相关性作为先前知识,使用超图神经网络和多顺序任务转移学习编码.
集成的细分,分类和属性评分在一个多任务框架内,具有特征融合和注意力块.

主要成果:

在LIDC-IDRI数据集上诊断恶性肺结节的准确性达到了91.04%.
证明了最先进的性能,优于现有的肺结节分类模型.
PK-MTL网络有效地利用属性相关性来提高诊断准确度.

结论:

拟议的PK-MTL网络通过整合属性相关性,在肺结节分类方面取得了重大进展.
这种方法提高了诊断准确度,并为放射科医生提供了更全面的分析.
该方法有望改善肺癌的早期检测和治疗计划.