A2FSeg: Adaptive Multi-Modal Fusion Network for Medical Image Segmentation

Paper

This is the implementation for the paper:

A2FSeg: Adaptive Multi-Modal Fusion Network for Medical Image Segmentation

Early Accepted by MICCAI 2023

Usage

• Data Preparation

  • Download the data from MICCAI 2020 BraTS Challenge.

  • Convert the files' name by

  python dataset_conversion/Task032_BraTS_2020.py

  • Preprocess the data by

  python experiment_planning/nnUNet_plan_and_preprocess.py -t 32 --verify_dataset_integrity

  • Change batchsize by

  python experiment_planning/change_batch_size.py

• Train

  Train the model by

  python run/run_training_MAML3_channel.py

A2FSeg is integrated with the out-of-box nnUNet. Please refer to it for more usage.

Citation

If you find this code and paper useful for your research, please kindly cite our paper.

Acknowledgement

A2FSeg is integrated with the out-of-box nnUNet.