This project leverages deep learning for doing MRI-Image Synthesis and generating segmented images help doctors in studying MRI brain scans.
So we have created two models, one for Image synthesis and the other does Segmentation. Both works on generating images. We have implemented **VAEs** to achieve the purpose.
Learning and understanding the terminologies involved with MRIs really took a while like Preprocessing MRI images requires quite a different methodologies than in general. We were learning PyTorch along with the implementation, and although it's quite pythonic in nature still took some time to wrap our minds around.
We will be implementing Conditional Generative Adversarial networks (cGANs) to improve the accuracy of our model. Along with that, we will be creating a web application so that it could be of some help to society.