UNet-Cell-Segmentation

Project done under the guidance of Prof. Suyash Awate for the course CS-736 : Medical Image Computing. Team Members :

1. Neel Aryan Gupta
2. Tathagat Verma

Code and data folders have been provided.

We have written code and trained our models on Kaggle. The links have been provide for the same below. The trained models and dataset are present in the links.

Here are the links to the code:

1. DMCN - https://www.kaggle.com/neelaryan/mic-dmcn
2. Unet1 - https://www.kaggle.com/neelaryan/mic-unet1
3. Weighted unet - https://www.kaggle.com/tathagatv/mic-weighted-unet
4. Unet2 - https://www.kaggle.com/neelaryan/mic-unet2

The dataset and trained models are in the notebooks itself Dataset present in the Input folders of each notebook (ISBI 2012 dataset has been used) Trained models present in the Output folders of each notebook

Link to ISBI challenge - http://brainiac2.mit.edu/isbi_challenge/ Dataset can be found here as well.