/mbp1413_final_project

An analysis of the often overlooked effects of different types of data augmentation and preprocessing for medical image segmentation using novel kernel attention u-nets

Primary LanguageJupyter Notebook

A Closer Look at Data Augmentation and Preprocessing for Segmentation with Kernel Attention U-Net's

Final Project for MBP1413: Biomedical Applicationg of Artificial Intelligence

Authors

  • Sayan Nag
  • Shawn Carere

To train a model and replicate results, use the train_baselines_shawn.py script in the training directory.