JoVE
JoVE
Faculty Resource Center
Research
Behavior
Biochemistry
Biology
Bioengineering
Cancer Research
Chemistry
Developmental Biology
Engineering
Environment
Genetics
Immunology and Infection
Medicine
Neuroscience
JoVE Journal
JoVE Encyclopedia of Experiments
JoVE Chrome Extension
Education
Biology
Chemistry
Clinical
Engineering
Environmental Sciences
Pharmacology
Physics
Psychology
Statistics
JoVE Core
JoVE Science Education
JoVE Lab Manual
JoVE Quiz
JoVE Business
Videos Mapped to your Course
Authors
Librarians
High Schools
About
Sign-In
Sign In
Contact Us
Research
JoVE Journal
JoVE Encyclopedia of Experiments
Education
JoVE Core
JoVE Science Education
JoVE Lab Manual
High Schools
EN
EN - English
CN - 中文
DE - Deutsch
ES - Español
KR - 한국어
IT - Italiano
FR - Français
PT - Português
JA - 日本語
TR - Türkçe
EN
EN - English
CN - 中文
DE - Deutsch
ES - Español
KR - 한국어
IT - Italiano
FR - Français
PT - Português
JA - 日本語
TR - Türkçe
Close
Research
Behavior
Biochemistry
Bioengineering
Biology
Cancer Research
Chemistry
Developmental Biology
Engineering
Environment
Genetics
Immunology and Infection
Medicine
Neuroscience
Products
JoVE Journal
JoVE Encyclopedia of Experiments
Education
Biology
Chemistry
Clinical
Engineering
Environmental Sciences
Pharmacology
Physics
Psychology
Statistics
Products
JoVE Core
JoVE Science Education
JoVE Lab Manual
JoVE Quiz
JoVE Business
Videos Mapped to Your Course
Teacher Resources
Get in Touch
Instant Trial
Log In
EN
EN - English
CN - 中文
DE - Deutsch
ES - Español
KR - 한국어
IT - Italiano
FR - Français
PT - Português
JA - 日本語
TR - Türkçe
Journal
/
Medicine
/
用机器学习预测图像引导疗法的治疗反应--肝细胞癌的跨动脉治疗实例
JoVE Journal
Medicine
A subscription to JoVE is required to view this content.
Sign in or start your free trial.
JoVE Journal
Medicine
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Please note that all translations are automatically generated.
Click here for the English version.
用机器学习预测图像引导疗法的治疗反应--肝细胞癌的跨动脉治疗实例
DOI:
10.3791/58382-v
•
04:09 min
•
October 10, 2018
•
Aaron Abajian
,
Nikitha Murali
,
Lynn Jeanette Savic
2
,
Fabian Max Laage-Gaupp
,
Nariman Nezami
,
James S. Duncan
,
Todd Schlachter
,
MingDe Lin
,
Jean-François Geschwind
,
Julius Chapiro
1
Department of Radiology and Biomedical Imaging
,
Yale School of Medicine
,
2
Department of Diagnostic and Interventional Radiology
,
Universitätsmedizin Charité Berlin
,
3
Department of Biomedical Engineering
,
Yale School of Engineering and Applied Science
,
4
Philips Research North America
,
5
Prescience Labs
Chapters
00:04
Title
00:59
Structured Clinical Data Feature Extraction, Aggregation, and Reduction
03:01
Results: Machine Learning Algorithm Performance
03:45
Conclusion
Summary
Automatic Translation
English (Original)
العربية (Arabic)
中文 (Chinese)
Nederlands (Dutch)
français (French)
Deutsch (German)
עברית (Hebrew)
italiano (Italian)
日本語 (Japanese)
한국어 (Korean)
português (Portuguese)
русский (Russian)
español (Spanish)
Türkçe (Turkish)
Automatic Translation
动脉内治疗是不能接受手术切除的肝癌患者的护理标准。提出了一种预测这些疗法反应的方法。该技术使用预先程序的临床、人口学和影像学信息来训练能够预测治疗前反应的机器学习模型。
Tags
Machine Learning
Image-guided Therapy
Hepatocellular Carcinoma
Trans-arterial Treatment
Feature Extraction
Binarization
Model Training
Outcome Prediction
Article
Embed
ADD TO PLAYLIST
Usage Statistics
Related Videos
测量和制止在弱视治疗
多发性硬化症性能测试(MSPT):一个iPad为基础的残疾评估工具
原发性肿瘤和/或转移相关的临床前和治疗的临床开发的
离体
处理响应
该<em>卵内</em>鸡胚尿囊膜(CAM)含量为肝癌的有效异种移植模型
评价疗效<em>小时。幽门螺杆菌</em>蛋白HP-NAP为膀胱癌的治疗在原位小鼠模型的治疗工具
“以病人为像”肝癌原位同源小鼠模型的癌转移
MRI引导dmPFC-rTMS治疗作为治疗难治性抑郁症
采用微计算机断层扫描对肿瘤发展的评估和后续反应来治疗肺癌的小鼠模型
在耐药性颞叶癫痫患者卵圆孔电极记录的网络分析
内靶容积法治疗肝转移瘤的立体定向体放疗
Read Article