jinkaido1 / MATR

[IEEE TIP 2022] Official implementation of MATR: Multimodal Medical Image Fusion via Multiscale Adaptive Transformer

MATR: Multimodal Medical Image Fusion via Multiscale Adaptive Transformer (IEEE TIP 2022).

This is the official implementation of the MATR model proposed in the paper (MATR: Multimodal Medical Image Fusion via Multiscale Adaptive Transformer) with Pytorch.

Requirements

• CUDA 11.4
• conda 4.10.1
• Python 3.8.12
• PyTorch 1.9.1
• timm 0.4.12
• tqdm
• glob
• pandas

Tips:

Dealing with RGB input: Refer to DPCN-Fusion.

Dataset is here.

The code for evaluation metrics is here.

Cite the paper

If this work is helpful to you, please cite it as:

@ARTICLE{Tang_2022_MATR,
  author={Tang, Wei and He, Fazhi and Liu, Yu and Duan, Yansong},
  journal={IEEE Transactions on Image Processing}, 
  title={MATR: Multimodal Medical Image Fusion via Multiscale Adaptive Transformer}, 
  year={2022},
  volume={31},
  number={},
  pages={5134-5149},
  doi={10.1109/TIP.2022.3193288}}

If you have any questions, feel free to contact me ([e-mail]).