Brain Tumor Segmentation using Deep Learning

CAP 5516 Medical Imaging Brain Tumor Segmentation Course Project

Instructions to Execute Code

1. Please note the filenames in train.txt and val.txt
2. Use the appropriate preprocess.py file in respective folder to prepare the data
   Data in nii.gz format must be converted into npy pickle files as input to the model
3. After preprocessing, please change the path in the dataloaders of respective folders accordingly to run the model
4. Use python3 train.py/main.py to run the code with the default parameters. The parameters for the training can be changed inside the same files.

The results of the project can be seen in the report attached.