Saturday, April 17, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Machine Learning

Pancreatic Ductal Adenocarcinoma: Machine Learning–Based Quantit

October 30, 2019
in Machine Learning
Prediction of cardiovascular outcomes with machine learning techniques
586
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter

Wenli Qiu,1 Na Duan,1 Xiao Chen,1 Shuai Ren,1 Yifen Zhang,2 Zhongqiu Wang,1 Rong Chen3

1Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China; 2Department of Pathology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China; 3Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA

You might also like

Machine learning can be your best bet to transform your career

Teslafan, a Blockchain-Powered Machine Learning Technology Project, Receives Investment Prior to the ICO

Machine learning models may predict criminal offenses related to psychiatric disorders

Correspondence: Zhongqiu Wang
Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, 155 Hanzhong Road, Nanjing 210029, Jiangsu Province, People’s Republic of China
Tel +86 25 8661 8472
Fax +86 25 8661 8139
Email zhq200105@sina.com

Purpose: To assess the performance of combining computed tomography (CT) texture analysis with machine learning for discriminating different histopathological grades of pancreatic ductal adenocarcinoma (PDAC).
Methods: From July 2012 to August 2017, this retrospective study comprised 56 patients with confirmed histopathological PDAC (32 men, 24 women, mean age 64.04±7.82 years) who had undergone preoperative contrast-enhanced CT imaging within 1 month before surgery. Two radiologists blinded to the histopathological outcome independently segmented lesions for quantitative texture analysis. Histogram features, co-occurrence, and run-length texture were calculated. A support-vector machine was constructed to predict the pathological grade of PDAC based on preoperative texture features.
Results: Pathological analysis confirmed 37 low-grade PDAC (five well-differentiated/grade I and 32 moderately differentiated/grade II) and 19 high-grade PDAC (19 poorly differentiated/grade III) tumors. There were no significant differences in clinical or biological characteristics between patients with high-grade and low-grade tumors (P>0.05). There were significant differences between low-grade PDAC and high-grade PDAC on nine histogram features, seven run-length features, and two co-occurrence features. Cluster shade was the most important predictor (sensitivity 0.315). Using these texture features, the support-vector machine achieved 86% accuracy, 78% sensitivity, 95% and specificity.
Conclusion: Machine learning–based CT texture analysis accurately predicted histopathological differentiation grade of PDAC based on preoperative texture features, leading to maximization patient survival and achievement of personalized precision treatment.

Keywords: computed tomography, texture analysis, machine learning, pancreatic ductal adenocarcinoma, histopathological grade



This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License.

By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.

Credit: Google News

Previous Post

What are the differences between deep learning and usual machine learning?

Next Post

The Spurs Are Thriving Without Kawhi Leonard

Related Posts

Machine learning can be your best bet to transform your career
Machine Learning

Machine learning can be your best bet to transform your career

April 17, 2021
Teslafan, a Blockchain-Powered Machine Learning Technology Project, Receives Investment Prior to the ICO
Machine Learning

Teslafan, a Blockchain-Powered Machine Learning Technology Project, Receives Investment Prior to the ICO

April 17, 2021
Machine learning approach identifies more than 400 genes tied to schizophrenia
Machine Learning

Machine learning models may predict criminal offenses related to psychiatric disorders

April 16, 2021
How To Ensure Your Machine Learning Models Aren’t Fooled
Machine Learning

How To Ensure Your Machine Learning Models Aren’t Fooled

April 16, 2021
Scientists use machine learning to classify millions of new galaxies
Machine Learning

Scientists use machine learning to classify millions of new galaxies

April 16, 2021
Next Post
The Spurs Are Thriving Without Kawhi Leonard

The Spurs Are Thriving Without Kawhi Leonard

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

January 6, 2019
Microsoft, Google Use Artificial Intelligence to Fight Hackers

Microsoft, Google Use Artificial Intelligence to Fight Hackers

January 6, 2019

Categories

  • Artificial Intelligence
  • Big Data
  • Blockchain
  • Crypto News
  • Data Science
  • Digital Marketing
  • Internet Privacy
  • Internet Security
  • Learn to Code
  • Machine Learning
  • Marketing Technology
  • Neural Networks
  • Technology Companies

Don't miss it

SolarWinds cybersecurity spending tops $3 million in Q4, sees $20 million to $25 million in 2021
Internet Security

SolarWinds: US and UK blame Russian intelligence service hackers for major cyberattack

April 17, 2021
Machine learning can be your best bet to transform your career
Machine Learning

Machine learning can be your best bet to transform your career

April 17, 2021
AI and Human Rights, A Story About Equality | by bundleIQ | Mar, 2021
Neural Networks

AI and Human Rights, A Story About Equality | by bundleIQ | Mar, 2021

April 17, 2021
Monitor Your SEO Placement with SEObase
Learn to Code

Monitor Your SEO Placement with SEObase

April 17, 2021
Google Project Zero testing 30-day grace period on bug details to boost user patching
Internet Security

Google Project Zero testing 30-day grace period on bug details to boost user patching

April 17, 2021
Teslafan, a Blockchain-Powered Machine Learning Technology Project, Receives Investment Prior to the ICO
Machine Learning

Teslafan, a Blockchain-Powered Machine Learning Technology Project, Receives Investment Prior to the ICO

April 17, 2021
NikolaNews

NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

What’s New Here?

  • SolarWinds: US and UK blame Russian intelligence service hackers for major cyberattack April 17, 2021
  • Machine learning can be your best bet to transform your career April 17, 2021
  • AI and Human Rights, A Story About Equality | by bundleIQ | Mar, 2021 April 17, 2021
  • Monitor Your SEO Placement with SEObase April 17, 2021

Subscribe to get more!

© 2019 NikolaNews.com - Global Tech Updates

No Result
View All Result
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News

© 2019 NikolaNews.com - Global Tech Updates