@@ -9,3 +9,10 @@ The data is divided into a training set of 999 images and a test set of 335
Download link : https://zenodo.org/record/1327317#.Xv2xeSgzZPY
(176.5MB
stage1 : Segment the fetal head part from the input images using "Marchov Random Fields for Segmentation.ipynb"
stage 2 : Perform feature extraction on the segmented images using VGG16 model " VGG16 feature extraction from segmented images.ipynb"
stage 3 : Use deep learning model to predict the head circumference for the input image from its features using " Predicting Head Circumference.ipynb "
