Skip to content

john-fante/down-syndrome-detection

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 

Repository files navigation

Down Syndrome Detection with CNN


I used followed methods
  • A custom CNN model with 194,529 trainable parameters
  • Splitted train(2549 images) and test set (450 images)
  • Used elu activation function during feature extraction
  • Used tf.data for input pipeline

CNN Model Architecture

download (4)

Results


Result
Test Accuracy 80.44 %
Test AUC 0.878
Test Precision 0.862
Test Recall 0.735
  • Graphs

__results___15_1

  • Confusion Matrix

__results___20_1