This repository contains siamese model research applications on image analysis methods for 2D MRIs.

Writing-phase
⏳

• List of preprocessing methods applied and available as examples
• Siamese network code
• Siamese backbones in the training loop
• Data processing and tf/torch compatible
• Evaluation dataset
• Documented steps of processing and methods
• Noise simulation code clean
• Evaluation of results and recap (wandb available)
• Args check, GPU selection check

• code: in this folder you will find all the code used for the analysis and the figure(s) creation.
  • code/0_data_load notebook containing the data pre-processing commands and step-by-step illustrations.
  • code/1_data_save notebook containing the basic local data save code.
  • code/siamese_torch contains the latest pytorch siamese network version, with its complete training process.

todos