This model was developed using the data provided as part of Fetal Brain Tissue Annotation and Segmentation Challenge (FeTA), MICCAI 2021.
https://feta-2021.grand-challenge.org/
The model is based on a deep fully convolutional neural network. It was developed at IMAGINE laboratory of Harvard Medical School (https://imagine.med.harvard.edu/).
Massive image and label augmentation were used to train the model.
For obtaining the training code, plase contact Davood Karimi at davood.karimi@childrens.harvard.edu.
docker pull davoodk/fetal_brain_segmentation
docker run --mount src=IMAGE_DIR,target=/src/test_images/,type=bind davoodk/fetal_brain_segmentation
The following show example results on the images from FeTA Challenge.
