This term project has been done as a part of the course AIN3007 - Deep Learning for Medical Image Processing at Bahçeşehir University.
- Osman Faruk Bayram github huggingface
- İclal Sönmez github huggingface
- Alper Çakır github huggingface
- ain3007-project/project-utils: This is a python package that contains utility functions for our project.
- ain3007-project/preprocessing-data: This repo contains the jupyter notebooks that we used to preprocess the data.
Our huggingface account contains datasets, models and spaces.
- ain3007-project/ASAP-exporter: A tool that lets us export annotations from ASAP to image files.
We have used the following datasets in our project. Most of these links are private and can only be accessed by the project members. We dont have the permission to share these datasets publicly.
- ain3007-project/raw-dataset: Training dataset
- ain3007-project/raw-internal-test-dataset: Internal test dataset
- ain3007-project/raw-external-test-dataset: External test dataset
- Panda dataset: Prostate cANcer graDe Assessment (PANDA) Challenge dataset
2000 x 2000 thumbnails with original aspect ratio. (So there are images with shape 2000x1643, 2000x2000, 1445x2000 etc.)
- ain3007-project/dataset-thumbnails-2000: Training dataset
- ain3007-project/test-dataset-thumbnails-2000: Test dataset
- ain3007-project/panda-dataset-thumbnails-2000: Panda dataset
512 x 512 thumbnails with white padding to make them square.
- ain3007-project/dataset-thumbnails-512-padded-white: Training dataset
- ain3007-project/test-dataset-thumbnails-512-padded-white: Test dataset
- ain3007-project/panda-dataset-thumbnails-512-padded-white: Panda dataset
