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

Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...

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

Integrated Assessment of HIF-1α and SOD2 Expression and Their Prognostic Implications in Triple-Negative Breast Cancer.

International journal of molecular sciences·2026
Same author

Therapeutic effects of Chelidonium majus on ocular surface ınflammation and tear film homeostasis in a benzalkonium chloride-ınduced rat model of dry eye disease.

International ophthalmology·2026
Same author

Clinicopathological Characteristics of Skin Adnexal Tumors: Insights from a Two-Center Retrospective Study.

Journal of clinical medicine·2025
Same author

NNMT overexpression is an adverse prognostic factor in uterine leiomyosarcoma.

Turkish journal of medical sciences·2024
Same author

Discussion and Demonstration of RF-MEMS Attenuators Design Concepts and Modules for Advanced Beamforming in the Beyond-5G and 6G Scenario-Part 2.

Micromachines·2024
Same author

Discussion and Demonstration of RF-MEMS Attenuators Design Concepts and Modules for Advanced Beamforming in the Beyond-5G and 6G Scenario-Part 1.

Sensors (Basel, Switzerland)·2024

相关实验视频

Updated: Jul 1, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.4K

使用微波数据集的机器学习算法对癌症组织进行分类.

Rabia Toprak1, Huseyin Duysak1, Zeliha Esin Celik2

  • 1Department of Electrical-Electronics Engineering, Karamanoglu Mehmetbey University, Karaman, Turkey.

Bioelectromagnetics
|January 6, 2026
PubMed
概括

微波测量可以快速区分癌症与健康的结肠组织. k-最近邻近算法实现了最高的准确性,加速了癌症诊断.

关键词:
自由空间测量测量喇天线 喇天线机器学习是机器学习.微波炉可以使用微波炉.瘤结肠组织的分类

更多相关视频

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
09:53

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Published on: August 16, 2020

7.6K
Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment
13:01

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Published on: June 3, 2022

4.4K

相关实验视频

Last Updated: Jul 1, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.4K
Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
09:53

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Published on: August 16, 2020

7.6K
Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment
13:01

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Published on: June 3, 2022

4.4K

科学领域:

  • 生物工程是生物工程.
  • 医学物理 医学物理
  • 计算生物学 计算生物学

背景情况:

  • 癌症发病率上升需要更快的诊断方法.
  • 传统的病理学报告是耗时的.
  • 早期发现癌症对于治疗成功至关重要.

研究的目的:

  • 开发一种快速的方法来区分癌症与健康的结肠组织.
  • 评估用于病理组织分析的微波测量技术.
  • 为了比较组织识别准确性的分类算法.

主要方法:

  • 在结肠组织样本上利用自由空间微波测量 (18-26 GHz).
  • 收集的散射参数,包括反射和传播系数.
  • 训练并测试了k-最近邻居 (KNN),人工神经网络 (ANN) 和支持矢量机器 (SVM) 算法.

主要成果:

  • 使用各种测量特征组合创建了四个不同的数据集.
  • 该KNN算法证明了最高的分类准确性.
  • 使用反射,传输系数和频率数据实现了最佳性能.

结论:

  • 微波测量为癌症诊断提供了一个有希望的,加快的方法.
  • 根据微波数据,KNN算法有效地对结肠组织进行分类.
  • 这种技术有可能显著减少诊断周转时间.