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

3D Adversarial Segmentation of Kidney-Transplant Across Multiple MRI Sequences Using Probabilistic and Anatomical Priors.

Diagnostics (Basel, Switzerland)·2026
Same author

AI-Driven Breast Cancer Diagnosis: A Systematic Review of Imaging Modalities, Deep Learning, and Explainability.

Cancers·2026
Same author

From Hematoxylin and Eosin to Masson's Trichrome: A Comprehensive Framework for Virtual Stain Transformation in Chronic Liver Disease Diagnosis.

Diagnostics (Basel, Switzerland)·2026
Same author

Explainable Computational Imaging for Precision Oncology: An Interpretable Deep Learning Framework for Bladder Cancer Histopathology Diagnosis.

Bioengineering (Basel, Switzerland)·2026
Same author

Securing IoT networks: a machine learning approach for detecting unusual traffic patterns.

Scientific reports·2025
Same author

Prompt-Driven Multimodal Segmentation with Dynamic Fusion for Adaptive and Robust Medical Imaging with Applications to Cancer Diagnosis.

Cancers·2025
Same journal

Multiphysics Investigation on Thermal Characteristics of Internal Bio-Inspired V-Ribbed Cooling Channels for Outer Rotor PMSM.

Biomimetics (Basel, Switzerland)·2026
Same journal

Smart Logistics Model for Supply Chain Management via Brain-Inspired Geometric Deep Networks.

Biomimetics (Basel, Switzerland)·2026
Same journal

A Systematic Taxonomy of the Sunflower Optimization Algorithm: Variants, Hybridization Strategies, Applications, and Research Directions.

Biomimetics (Basel, Switzerland)·2026
Same journal

Toward a Compositional Theory of Trust in Embodied Intelligence: A QNLP Framework for Modeling Context, Interaction, and Trustworthiness.

Biomimetics (Basel, Switzerland)·2026
Same journal

Empirical Logic for Bio-Inspired Soft Computing: Illustrative Applications in Control Engineering and Cluster Analysis.

Biomimetics (Basel, Switzerland)·2026
Same journal

A Modified Multi-Strategy Dhole Optimization Algorithm and Its Engineering Applications.

Biomimetics (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: Jul 12, 2025

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

彻底改变口腔癌检测:一种使用阿奎拉和大猩猩算法优化转移基于学习的CNNs的方法.

Mahmoud Badawy1,2, Hossam Magdy Balaha2,3, Ahmed S Maklad4,5

  • 1Department of Computer Science and Informatics, Applied College, Taibah University, Al Madinah Al Munawwarah 41461, Saudi Arabia.

Biomimetics (Basel, Switzerland)
|October 27, 2023
PubMed
概括
此摘要是机器生成的。

使用深度学习的自动口腔癌检测显著改善了早期诊断. 优化的卷积神经网络 (CNN) 使用新的元启发算法实现了99.25%的准确性,提高了成本效益的选.

关键词:
大猩猩部队优化器 (GTO)这是分类分类的分类.卷积神经网络 (CNN) 是一种神经网络.深度学习 (DL) 是指深度学习.

更多相关视频

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

2.8K
Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
08:08

Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence

Published on: June 10, 2025

69

相关实验视频

Last Updated: Jul 12, 2025

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
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

2.8K
Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
08:08

Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence

Published on: June 10, 2025

69

科学领域:

  • 医疗成像医学成像
  • 人工智能的人工智能
  • 计算病理学计算病理学

背景情况:

  • 早期检测口腔癌对于患者的生存至关重要,但由于昂贵的手动查而受到阻碍.
  • 深度学习提供了一种具有成本效益的,自动化解决方案,用于使用组织病理学图像进行口腔癌查.

研究的目的:

  • 开发一个准确的,自动化框架,从微观组织病理学幻灯片对口腔癌进行分类.
  • 评估优化深度学习模型在提高口腔癌检测准确度方面的有效性.

主要方法:

  • 使用了与转移学习 (TL) 模型集成的卷积神经网络 (CNN) (VGG19,VGG16,MobileNet变体,NASNetMobile,DenseNet201).
  • 使用Aquila Optimizer (AO) 和大猩猩部队优化器 (GTO) 的元启发算法微调的CNN.
  • 经过培训和测试,在Histopathologic口腔癌检测数据集 (2494个正常,2698个OSCC图像) 上进行测试.

主要成果:

  • 在大多数转移学习模型中,Aquila Optimizer (AO) 总体上表现优于大猩猩部队优化器 (GTO).
  • 而DenseNet201模型实现了最高的精度,达到AO的99.25%,GTO的97.27%.
  • 优化的深度学习框架在区分正常和口腔状细胞癌 (OSCC) 图像方面表现出卓越的性能.

结论:

  • 拟议的框架在自动口腔癌检测方面取得了重大进展,提高了诊断能力.
  • 优化的深度学习模型,特别是具有像AO这样的元启发算法的CNN,显示了医学图像分析和诊断的巨大潜力.
  • 这种方法解决了手动查的局限性,为更容易获得和更准确的口腔癌诊断铺平了道路.