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

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

5.1K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
5.1K

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

Model-based estimation and comparison of enteric methane emissions to assess model outcomes in South Asian cattle using feeding trial data.

The Journal of dairy research·2026
Same author

PlantaNet and PlantaNetLite: Efficient and explainable multi-crop plant disease classification via transformer benchmarking and custom lightweight CNNs.

PloS one·2026
Same author

Impact of Fasting Plasma Glucose on Electrolyte Imbalance, Lipid Profile, and Associated Health Complications in Type 1 and Type 2 Diabetic Patients: A Cross-Sectional Study in Rural Bangladesh.

Health science reports·2026
Same author

Emerging zoonotic risks: whole-genome sequencing reveals antimicrobial resistance and genomic diversity in Providencia stuartii isolated from broiler chickens in Noakhali, Bangladesh.

Poultry science·2026
Same author

Phytogenic modulation of broiler physiology: Effects of tulsi, moringa, mint, and thankuni on growth, meat quality, blood chemistry, and gut microbiota.

Poultry science·2026
Same author

Extracting Symptoms of Complex Conditions From Online Discourse (Subreddit to Symptomatology): Lexicon-Based Approach.

JMIR medical informatics·2025

相关实验视频

Updated: Jun 25, 2025

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
09:11

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy

Published on: April 9, 2019

21.5K

通过MRI检测前列腺癌,使用高效的特征提取与转移学习.

Rafiqul Islam1, Al Imran2, Md Fazle Rabbi2

  • 1Department of IoT and Robotics Engineering, Bangabandhu Sheikh Mujibur Rahman Digital University, Gazipur, Bangladesh.

Prostate cancer
|May 24, 2024
PubMed
概括

这项研究表明,包括ResNet50在内的深度学习模型可以有效地提取前列腺癌诊断的特征. 机器学习,特别是随机森林,实现了高精度,为改进的癌症识别工具铺平了道路.

科学领域:

  • 在瘤学瘤学.
  • 计算机科学 计算机科学
  • 医疗成像医学成像

背景情况:

  • 前列腺癌是一个普遍存在的全球健康问题,需要迅速和准确的诊断以获得有效的治疗.
  • 机器学习 (ML) 为提高瘤学诊断精度提供了有希望的途径.
  • 深度学习 (DL) 模型显示出从医学成像数据中提取复杂特征的潜力.

研究的目的:

  • 调查各种深度学习模型 (VGG16,VGG19,ResNet50,ResNet50V2) 在前列腺癌诊断中特征提取的有效性.
  • 评估随机森林分类器与DL提取的特征一起用于前列腺癌分类的性能.
  • 为了解决数据集的局限性,使用转移学习来改进模型概括.

主要方法:

  • 对VGG16,VGG19,ResNet50和ResNet50V2进行比较分析,用于从前列腺癌图像中提取特征.
  • 应用随机森林分类器来分类DL模型提取的特征.
  • 利用转移学习技术在有限的注释前列腺癌数据集上训练DL模型.

主要成果:

  • 在提取前列腺癌图像中显著特征方面,ResNet50获得了最高的准确性 (99.64%).
  • 结合DL特征提取和随机森林分类,在前列腺癌检测方面表现出高效.

更多相关视频

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
06:08

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound

Published on: March 21, 2025

163
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

6.8K

相关实验视频

Last Updated: Jun 25, 2025

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
09:11

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy

Published on: April 9, 2019

21.5K
A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
06:08

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound

Published on: March 21, 2025

163
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

6.8K
  • 转移学习增强了DL模型在有限数据的泛化能力.

    • 结论:

    • 深度学习模型,特别是ResNet50,在前列腺癌诊断中的特征提取方面非常有效.
    • 将DL特征提取与随机森林分类的整合为准确的癌症鉴定提供了一个强大的框架.
    • 这项研究支持开发可靠,可解释的基于ML的诊断工具,用于早期和精确的前列腺癌检测.