Skip to content

KongpolC/COVID-19_Image_Classification

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

COVID-19 Chest X-Ray Image Classification

preview

Apply transfer learning from ResNet50 v.2 with weights from ImageNet to classify chest X-ray images into 3 classes which are

0: COVID-19 infected
1: Normal
2: Pneumonia from causes other than COVID-19

Trained on 3,641 images and validated on 473 images. training_graph

Result

confusion_matrix

              precision    recall  f1-score   support

       covid       0.96      0.95      0.96        80
      normal       0.95      0.90      0.93       235
   pneumonia       0.86      0.93      0.89       158

    accuracy                           0.92       473
   macro avg       0.92      0.93      0.93       473
weighted avg       0.92      0.92      0.92       473

Average F1-Score = 0.9251186853945429

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published