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

Gene regulatory networks orchestrating oocyte fate bifurcation in primordial follicles revealed by single-cell transcriptomics.

Communications biology·2026
Same author

Protective and risk factors for caregiver mental health: a mediation analysis in a rural Chinese cohort of mothers and grandmothers caring for young children.

BMC psychology·2026
Same author

Using Well-Defined DNA Nanostructures To Study the Influence of DNA Clustering and Presentation on SNA Cellular Uptake.

Nano letters·2026
Same author

Iron-Photocatalyzed C(sp<sup>3</sup>)-H Phosphonylation of Alkanes.

Angewandte Chemie (International ed. in English)·2026
Same author

Real-time minimalist imaging via spatial aberration uniformization and re-parameterized restoration.

Optics express·2026
Same author

EEG-based stroke severity classification using higher-order topological features and graph convolutional networks.

Frontiers in neuroscience·2026
Same journal

Application of ephrin-B2 loaded glycol chitosan-silk fibroin hydrogel in the treatment of diabetic refractory wounds.

Scientific reports·2026
Same journal

International expert Delphi consensus on thromboprophylaxis in metabolic and bariatric surgery.

Scientific reports·2026
Same journal

Assessing the cross-region knowledge transfer capability of selected deep learning building vectorization methods in the context of available training datasets.

Scientific reports·2026
Same journal

Feasibility and preliminary effects of outdoor versus indoor cognitive-motor therapy in women with Alzheimer's disease: A randomized single-blind pilot study.

Scientific reports·2026
Same journal

Hallmarks of social action in the vocal turn-taking of wild common marmosets (Callithrix jacchus).

Scientific reports·2026
Same journal

Role and mechanism of AOPPs-induced NOX4-mediated ferroptosis in intervertebral disc degeneration.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: Jun 4, 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

自动X射线牙细分与分组的注意力.

Wenjin Zhong1, XiaoXiao Ren2, HanWen Zhang2

  • 1Macquarie University, Sydney, Australia. wenjin.zhong@hdr.mq.edu.au.

Scientific reports
|January 2, 2025
PubMed
概括
此摘要是机器生成的。

一个新的AI模型,GCNet,通过精确细分牙来改进牙X射线分析,即使数据有限和图像噪音大. 这有助于牙医更好地了解牙的形状和生长趋势.

更多相关视频

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

367
Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin
09:36

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin

Published on: March 14, 2018

9.3K

相关实验视频

Last Updated: Jun 4, 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
Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

367
Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin
09:36

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin

Published on: March 14, 2018

9.3K

科学领域:

  • 医疗成像医学成像
  • 人工智能的人工智能
  • 计算机视觉 计算机视觉

背景情况:

  • 精确的牙细分从牙科X射线对于诊断形状和生长至关重要.
  • 挑战包括小型数据集,噪音和模糊的边界,阻碍模型通用性并导致过度拟合.

研究的目的:

  • 开发一种新型模型,GCNet,用于牙科X射线中强大而精确的牙细分.
  • 解决现有模型在处理杂数据和小数据集方面的局限性.

主要方法:

  • 拟议的集成注意力和跨层融合网络 (GCNet) 具有集成全球注意力 (GGA) 和跨层融合 (CLF) 模块.
  • GGA模块捕获和分组纹理/轮特征.
  • CLF模块集成了具有深度语义信息的功能,用于增强预测.

主要成果:

  • 在儿童牙科全景放射图数据集上,GCNet取得了卓越的表现.
  • 获得了0.9338的子系数,0.9426的灵敏度和0.9821.1的特异性.
  • 与GT-U-Net和Teeth U-Net相比,展示了更清晰的细分界限.

结论:

  • 对于小规模的牙科X射线数据集,GCNet提供稳定而精确的细分.
  • 该模型有效地处理噪音和个别数据变化.
  • GCNet显示了改善牙科诊断工具的巨大潜力.