/IPCV-Mini-Project

Primary LanguageJupyter Notebook

IPCV-Mini-Project

Team TAG
Topic: Kidney Stone and Tumor Detection Using CT Scans
Anisha Ghosh - PES1UG19CS067
Anupama Nhavalore - PES1UG19CS071
Gayathri Sunil - PES1UG19CS167
Tushar Shetty - PES1UG19CS544

Instructions to run the code:

  1. Download the data from - https://drive.google.com/drive/folders/1KjlcbL-GBC1cNYGByhnU9fmU55Sy0aF7?usp=sharing
  2. Dataset images should be in 3 folders, Stone, Tumor and Normal
  3. Create a folder called preprocessed-x in each of the above mentioned folders where x is the category- normal, tumor or stone
  4. Run each of the MATLAB files and change path as required
  5. The intermediate outputs will now be stored in processed-x for each category/class
  6. Store each of the processed-x folders in a separate folder and name the parent folder as categories. This will be the input for our CNN
  7. Run kidney-and-tumor-detection.ipynb (works well on google colab or on any other ipynb editor)