相关实验视频

Updated: Jan 7, 2026

Controllable Nucleation of Cavitation from Plasmonic Gold Nanoparticles for Enhancing High Intensity Focused Ultrasound Applications
08:19

Controllable Nucleation of Cavitation from Plasmonic Gold Nanoparticles for Enhancing High Intensity Focused Ultrasound Applications

Published on: October 5, 2018

6.8K

通过课程学习和Neyman-Pearson标准优化部分接收器操作特征曲线,以实现强大的水下声学目标检测

Ruihao Jing1,2, Jichao Zhang1,2, Zhongxin Bai3

  • 1School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China.

The Journal of the Acoustical Society of America
|January 2, 2026
PubMed
概括

No abstract available in PubMed .

更多相关视频

Studying Cavitation Enhanced Therapy
07:36

Studying Cavitation Enhanced Therapy

Published on: April 9, 2021

5.7K
Wideband Optical Detector of Ultrasound for Medical Imaging Applications
08:21

Wideband Optical Detector of Ultrasound for Medical Imaging Applications

Published on: May 11, 2014

11.7K

相关实验视频

Last Updated: Jan 7, 2026

Controllable Nucleation of Cavitation from Plasmonic Gold Nanoparticles for Enhancing High Intensity Focused Ultrasound Applications
08:19

Controllable Nucleation of Cavitation from Plasmonic Gold Nanoparticles for Enhancing High Intensity Focused Ultrasound Applications

Published on: October 5, 2018

6.8K
Studying Cavitation Enhanced Therapy
07:36

Studying Cavitation Enhanced Therapy

Published on: April 9, 2021

5.7K
Wideband Optical Detector of Ultrasound for Medical Imaging Applications
08:21

Wideband Optical Detector of Ultrasound for Medical Imaging Applications

Published on: May 11, 2014

11.7K

相关概念视频

Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

458
A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
458
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

8.0K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
8.0K
JoVE
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
Jove
Visualize
联系我们