Skip to content

The aim of this kernel is to develop a robust deep learning model which classifies whether a chest X- ray image proves pneumonia or not. Finally the network classifies successfully the 87% of the test data. Chest X-ray images (anterior-posterior) were selected from retrospective cohorts of pediatric patients of one to five years old from Guangzh…

License

Notifications You must be signed in to change notification settings

rtaero/Chest-X-Ray-Pneumonia-Detection-with-keras-CNN

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Chest-X-Ray-Pneumonia-Detection-with-keras-CNN

The aim of this kernel is to develop a robust deep learning model which classifies whether a chest X- ray image proves pneumonia or not. Finally the network classifies successfully the 87% of the test data. Chest X-ray images (anterior-posterior) were selected from retrospective cohorts of pediatric patients of one to five years old from Guangzhou Women and Children’s Medical Center, Guangzhou. All chest X-ray imaging was performed as part of patients’ routine clinical care.

lungs acc loss

About

The aim of this kernel is to develop a robust deep learning model which classifies whether a chest X- ray image proves pneumonia or not. Finally the network classifies successfully the 87% of the test data. Chest X-ray images (anterior-posterior) were selected from retrospective cohorts of pediatric patients of one to five years old from Guangzh…

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%