RMFormer

Reparameterized Multi-scale Transformer for Deformable Retinal Image Registration

Paper Link will be available soon.

Datasets

• FIRE: Fundus Image Registration Dataset
• OASIS: Open Access Series of Imaging Studies

We used OASIS dataset processed by Junyu Chen [here].

Running

Training

Set train_dir and val_dir to your path in train_RMFormer.py line 32-33.

Then, simply run python train_RMFormer.py will start the training process.

Testing

Set test_dir to your path in infer_RMFormer.py line 45.

Then, simply run python infer_RMFormer.py will start the testing process.

Acknowledgment

This repo is heavily based on Junyu Chen's code (junyuchen245/TransMorph_Transformer_for_Medical_Image_Registration: TransMorph). Thanks for their contribution!