MONAI dynUNet model for fetal brain segmentation

This folder contains a pre-trained deep learning model for automated fetal brain segmentation using the MONAIfbs python package [1]. The model was built using the dynUNet architecture and training pipeline available in the MONAI framework [2].

The model can be deployed for inference using the inference script provided in the MONAIfbs package [3]. Its download is also required to use the MONAIfbs package in NiftyMIC [4] as automated segmentation tool.

Links:

[1] https://github.com/gift-surg/MONAIfbs

[2] https://github.com/Project-MONAI/MONAI/tree/releases/0.3.0

[3] https://github.com/gift-surg/MONAIfbs/blob/main/monaifbs/src/inference/monai_dynunet_inference.py

[4] https://github.com/gift-surg/NiftyMIC