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

相关实验视频

Updated: Jul 8, 2025

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

1.9K

使用特征金字塔网络改进的无结节检测系统.

Wenjia Song, Fangfang Tang, Henry Marshall

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 12, 2023
    PubMed
    概括
    此摘要是机器生成的。

    相关概念视频

    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

    Flexible state space modelling for accurate and efficient 3D lung nodule detection.

    Biomedical physics & engineering express·2025
    Same author

    An iterative deep learning-guided algorithm for directed protein evolution.

    iScience·2025
    Same author

    CO<sub>2</sub>-switchable Pickering emulsions of chitosan with recyclable emulsifier in aqueous phase.

    International journal of biological macromolecules·2025
    Same author

    A multiscale 3D network for lung nodule detection using flexible nodule modeling.

    Medical physics·2024
    Same author

    A Qualitative Study of the Care Experience of Mothers of Asthmatic Children from Low-Income Families.

    Alternative therapies in health and medicine·2024
    Same author

    AF automatic classification based on different time-delay values of the recurrence plot.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2023
    Same journal

    Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    Same journal

    AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    Same journal

    Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    Same journal

    Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    Same journal

    Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    Same journal

    A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    查看所有相关文章

    这项研究引入了一种用于肺癌检测的新型深度学习系统. 无结的结节检测方法提高了诊断准确度和早期肺癌识别的效率.

    科学领域:

    • 医疗成像医学成像
    • 人工智能的人工智能
    • 在瘤学瘤学.

    背景情况:

    • 肺癌 (LC) 是全球癌症死亡的主要原因.
    • 早期发现肺癌对于有效治疗和改善生存率至关重要.
    • 计算机辅助检测 (CAD) 系统在提高肺结节的诊断准确性方面表现有前途.

    研究的目的:

    • 为计算机辅助检测 (CAD) 系统提出一种基于深度学习的新肺结节检测方法.
    • 开发一个高效和准确的系统,用于早期肺癌的识别.

    主要方法:

    • 一种使用特征金字塔网络 (FPN) 的3D无结节检测 (AFND) 方法.
    • 一个单步检测管道,整合区域提案和节点分类.
    • 一种适应性结节建模方法,用于检测各种结节大小.
    • 一个复合损失函数,它结合了cosine相似性 (CS) 损失和SmoothL1损失.

    主要成果:

    • 与Luna 16数据集上现有的结节检测系统相比,拟议的AFND系统取得了更高的性能.
    • 该方法在区域建议,结节分类和处理不同规模的结节方面表现出有效性.
    • 新的中心点选择机制和复合损失函数有助于提高检测准确度.

    更多相关视频

    Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
    10:26

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

    Published on: May 19, 2023

    1.9K
    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    558

    相关实验视频

    Last Updated: Jul 8, 2025

    A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
    04:23

    A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

    Published on: April 21, 2023

    1.9K
    Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
    10:26

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

    Published on: May 19, 2023

    1.9K
    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    558

    结论:

    • 开发的基于深度学习的CAD系统为肺结节检测提供了有前途的进步.
    • AFND方法为早期肺癌诊断提供了有效和准确的解决方案.
    • 这种方法有可能通过更早,更准确的检测改善肺癌死亡率.