LITS Challenge

Liver Tumor Segmentation Challenge

1. Download the notebook and upload it in google colab.
2. Download the LITS data using the Download the LITS data.ipynb file, The dataset size is around 50 GB, so you may require paid storage for google drive as it supports only 15GB. Upload the torrent file when asked in colab.
3. It has around 100+ files, but you cannot train these much in colab
4. You can download a smaller dataset from this link which can be used in colab training https://drive.google.com/drive/folders/1_pzWz60wAvsMx35kd_x8w5A5Xyyf6ulh?usp=sharing
5. Train the model using model training.ipynb
6. Predict the new data using the model LITS_pred.ipynb

You can download the remaining dataset from here https://drive.google.com/drive/folders/1-1rskjkiG46RkeoRpxzI4JHa1sBKxOQM?usp=sharing

aap-lits.py will create a desktop application using kivy which can be used for the prediction of liver tumor segmentation