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

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

Clinical practice guidelines for the diagnosis and treatment of adult diffuse glioma-related epilepsy.

Cancer medicine·2019
Same author

Experiences of caregivers of family member with schizophrenia in China: A qualitative study.

Perspectives in psychiatric care·2019
Same author

[Finite element analysis on biomechanical properties of medial collateral ligament of elbow joint under different flexion angles].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2019
Same author

Predictors for blood loss in pediatric patients younger than 10 years old undergoing primary posterior hemivertebra resection: a retrospective study.

BMC musculoskeletal disorders·2019
Same author

Planar, Energetic, π-π-Stacked Compound with Weak Interactions Resulting in a High-Impact- and Low-Friction-Sensitive, Safer, Primary Explosive.

Inorganic chemistry·2019
Same author

Optimization of defined medium for recombinant Komagataella phaffii expressing cyclodextrin glycosyltransferase.

Biotechnology progress·2019
Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

GoP-based Quality Enhancement on Video Compression.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
查看所有相关文章

相关实验视频

Updated: May 24, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.6K

解决不一致的标签与交叉图像匹配以涂为基础的医疗图像分割问题.

Jingkun Chen, Wenjian Huang, Jianguo Zhang

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |March 3, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了一种新的参考集和匹配策略,以改善医疗图像细分,使用微弱监督学习与草. 它通过解决不完整和主观注释中的不一致性来提高准确性.

    更多相关视频

    Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
    10:25

    Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

    Published on: September 25, 2019

    47.7K
    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
    07:13

    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

    Published on: October 27, 2023

    991

    相关实验视频

    Last Updated: May 24, 2025

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
    04:48

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

    Published on: November 30, 2022

    2.6K
    Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
    10:25

    Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

    Published on: September 25, 2019

    47.7K
    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
    07:13

    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

    Published on: October 27, 2023

    991

    科学领域:

    • 医疗成像医学成像
    • 计算机视觉 计算机视觉
    • 机器学习 机器学习

    背景情况:

    • 弱监督学习,特别是涂注释,越来越多地用于医疗图像细分以降低成本.
    • 草注释由于不完整性,主观性和缺乏标准化而带来挑战,影响了细分性能.
    • 现有的方法难以应对固有的噪音和基于涂的训练数据的变化.

    研究的目的:

    • 开发一种强大的医疗图像细分方法,使用杂的涂注释.
    • 为了减轻不一致和不完整的注释数据对模型培训的负面影响.
    • 用弱监督数据训练的细分模型提高准确性和稳定性.

    主要方法:

    • 从各种图像中构建了一个类特定令牌和像素级特征的参考集.
    • 使用像素级特征匹配策略来指导使用参考集的学习过程.
    • 整合了光滑和回归技术,以在图像中对准像素级特征.

    主要成果:

    • 提出的策略有效地指导了学习过程,特别是不一致的涂.
    • 该方法表明,尽管有标记缺陷,但学习一致模式的能力有所提高.
    • 在三个数据集上的实验显示,与最先进的方法相比,细分精度和稳定性更高.

    结论:

    • 开发的参考集合和匹配策略显著提高了医疗图像细分的准确性和稳定性.
    • 这种方法提供了一个可行的解决方案,以利用不完善的注释来利用弱监督的学习.
    • 这些发现表明了通往更高效,更可靠的自动化医疗图像分析的道路.