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

Case Report: Allergic reaction following fecal microbiota transplantation in children with autism spectrum disorder: a report of two cases.

Frontiers in pediatrics·2026
Same author

Benefiting From OOD Samples in Open-Set Semi-Supervised Object Detection.

IEEE transactions on neural networks and learning systems·2026
Same author

The Effects of Allostatic Load on Comorbid Depression-Anxiety Symptoms in Adolescents With Low Family Socioeconomic Status: Evidence From a Cross-Sectional and Cross-Lagged Panel Network Analysis.

Psychophysiology·2026
Same author

MVHumanNet++: A Large-scale Dataset of Multi-view Daily Dressing Human Captures with Richer Annotations for 3D Human Digitization.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

DreamFuse: Towards Realistic and Seamless Image Fusion Across Diverse Scenarios.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

High-Fidelity and Lip-Synced Talking Face Synthesis via Landmark-Based Diffusion Model.

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

Multimodal Contrastive Spatiotemporal Self-Organizing Neural Networks for In-Home Activity Learning of Mild Cognitive Impairment.

IEEE journal of biomedical and health informatics·2026
Same journal

Integrating Multi-View Residue Graph and Protein Language Model for Cell-Penetrating Peptide Prediction via Global-Local Graph Aggregation and Cross-Attentive Fusion.

IEEE journal of biomedical and health informatics·2026
Same journal

An Ultra-Lightweight Cross-scale Attention Mamba Network for Accurate Skin Lesion Segmentation.

IEEE journal of biomedical and health informatics·2026
Same journal

Explanation-Guided Reconstruction of Missing Clinical Features for Survival Prediction in Pancreatic Cancer.

IEEE journal of biomedical and health informatics·2026
Same journal

stDGCN: A dual-augmentation graph convolutional network for identifying spatial domains with attention mechanism.

IEEE journal of biomedical and health informatics·2026
Same journal

Patient-specific Biomechanical Investigation of Percutaneous Pulmonary Valves: Towards the Integration of Routinely Acquired Clinical Data and Fluid-structure Interaction Simulations.

IEEE journal of biomedical and health informatics·2026
查看所有相关文章

相关实验视频

Updated: Jul 10, 2025

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.5K

ECC-PolypDet:增强的CenterNet与对比学习,用于自动检测多重体.

Yuncheng Jiang, Zixun Zhang, Yiwen Hu

    IEEE journal of biomedical and health informatics
    |November 20, 2023
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了带有对比学习的增强型CenterNet (ECC-PolypDet),用于在结肠镜图像中改进多重体检测. 这种新型的框架提高了隐藏和小息肉的识别能力,这对于早期结直肠癌诊断至关重要.

    更多相关视频

    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

    559
    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

    2.5K

    相关实验视频

    Last Updated: Jul 10, 2025

    Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
    08:20

    Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

    Published on: October 27, 2023

    1.5K
    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

    559
    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

    2.5K

    科学领域:

    • 医疗成像医学成像
    • 计算机视觉 计算机视觉
    • 在瘤学瘤学.

    背景情况:

    • 准确的聚检测对于早期结直肠癌 (CRC) 诊断至关重要.
    • 由于复杂的结肠环境和边界不清楚的息肉,仍然存在挑战.
    • 现有的方法在计算上昂贵的上下文聚合方面扎,或缺乏先前的息肉建模.

    研究的目的:

    • 开发一个强大的多检测框架,解决当前方法的局限性.
    • 为了改善隐藏和小息肉在结肠镜图像中的检测.
    • 通过先进的人工智能增强结直肠癌的早期诊断.

    主要方法:

    • 拟议的增强的CenterNet与对比学习 (ECC-PolypDet) 框架.
    • 利用盒式辅助对比学习 (BCL) 进行更好的特征歧视.
    • 引入了语义流导特征金字塔网络 (SFFPN) 和热图传播 (HP) 模块,用于多级特征聚合和注意.
    • 实施了IOU引导样本重权 (ISR) 用于对硬样本进行微调.

    主要成果:

    • 与最先进的探测器相比,ECC-PolypDet表现出更高的性能.
    • 该模型有效地捕捉隐藏的息肉,最大限度地减少类内差异,最大限度地增加类间差异.
    • 通过SFFPN和HP模块增强了小息肉的识别.
    • 与ISR的微调改善了在具有挑战性的案件中的稳定性.

    结论:

    • ECC-PolypDet在自动化片检测方面提供了显著的进步.
    • 提出的方法解决了用于CRC查的结肠镜图像分析的关键挑战.
    • 这一框架有望提高结直肠癌诊断的准确性和效率.