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

Unilateral versus bilateral resistance training for explosive jump performance, linear sprint speed, and change-of-direction ability in male basketball players: a systematic review and meta-analysis.

Frontiers in physiology·2026
Same author

Deep Learning-Guided Engineering of <i>Bst</i> DNA Polymerase Improves LAMP-Based Detection of Foodborne Pathogens.

Microorganisms·2026
Same author

Increased Cortical Thickness Combined With Altered Structural Covariance Networks in Functional Anorectal Pain.

Neurogastroenterology and motility·2026
Same author

Development and external validation of a musculoskeletal ultrasound-based prediction model for limited shoulder range of motion in nursing staff with neck-shoulder pain: a cross-sectional study.

Frontiers in public health·2026
Same author

[Arterial safe zones for acetabular screw placement in total hip arthroplasty: sex-based differences and individualized strategies].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery·2026
Same author

YoloSeg: You only label once for medical image segmentation.

Medical image analysis·2026
Same journal

UniOCTSeg++: Refined Hierarchical Prompt Strategy and Bi-directional Progressive Consistency Learning for Universal Retinal Layer Segmentation in OCT.

IEEE transactions on medical imaging·2026
Same journal

Volumetric Functional Ultrasound Imaging in Macaques.

IEEE transactions on medical imaging·2026
Same journal

MUST: Multi-style virtual staining with incomplete pairs.

IEEE transactions on medical imaging·2026
Same journal

BrainCL: Transformer-Based Brain Network Contrastive Learning with Multi-Order Topology and Salience Masking.

IEEE transactions on medical imaging·2026
Same journal

LLM-enhanced Neuron Segmentation and Reconstruction in Complex Mouse Brain Images.

IEEE transactions on medical imaging·2026
Same journal

Matrixed-Spectrum Decomposition Accelerated Linear Boltzmann Transport Equation Solver for Fast Scatter Correction in Multi-Spectral CT.

IEEE transactions on medical imaging·2026
查看所有相关文章

相关实验视频

Updated: Jun 18, 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

2.7K

一致性导向差分解码用于增强半监督医疗图像分割的增强.

Qingjie Zeng, Yutong Xie, Zilin Lu

    IEEE transactions on medical imaging
    |August 1, 2024
    PubMed
    概括
    此摘要是机器生成的。

    这项研究介绍了LeFeD,这是一种用于医学图像细分的新型半监督学习方法. LeFeD利用差分解码器功能来提高对有限的标记数据的细分精度.

    更多相关视频

    Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
    05:56

    Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

    Published on: April 14, 2023

    2.4K
    Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies
    04:25

    Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

    Published on: December 15, 2023

    2.3K

    相关实验视频

    Last Updated: Jun 18, 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

    2.7K
    Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
    05:56

    Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

    Published on: April 14, 2023

    2.4K
    Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies
    04:25

    Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

    Published on: December 15, 2023

    2.3K

    科学领域:

    • 医学图像分析 医学图像分析
    • 机器学习 机器学习
    • 计算机视觉 计算机视觉

    背景情况:

    • 有限的标记数据是体积医学图像细分的一个主要挑战.
    • 现有的半监督学习 (SSL) 方法通常依赖于伪标签或一致性规范化.
    • 当模型旨在实现预测一致性时,差分解码器特征可以自然出现.

    研究的目的:

    • 提出一种新的SSL方法,LeFeD,利用差分解码器特征.
    • 通过从特征差异中学习来提高半监督医疗图像细分性能.
    • 在这个领域建立一个新的最先进的状态.

    主要方法:

    • 分析SSL设置下学习一致性差异的价值.
    • 提出LeFeD,它从两个解码器中学习功能级别的差异.
    • 将这些差异作为反信号提供给编码器,以代地完善学习.

    主要成果:

    • 在三个公共数据集上,LeFeD的性能超过了八种最先进的方法.
    • 该方法可以在没有复杂的加法 (如不确定性估计) 的情况下获得卓越的结果.
    • LeFeD为半监督医疗图像细分设定了一个新的最先进的基准.

    结论:

    • LeFeD有效地利用差分解码器功能,改善半监督细分.
    • 与现有的SSL技术相比,拟议的方法提供了更简单但更强大的方法.
    • LeFeD在医疗图像细分方面取得了重大进展,使用有限的标记数据.