Implementation of classical-quantum CNN on MRI brain scans.

Classification of MRI brain scan using a hybrid quantum-classical Convolutional Neural Network (CNN). This work presents a method described in the following reference which improves the performance of classical CNN by adding a quantum convolutional layer to extract the features. The accuracy achieved by the model is upto 96.94% with the average loss of 0.0357.

Reference: https://aip.scitation.org/doi/pdf/10.1063/5.0138021

Data: https://www.kaggle.com/datasets/sartajbhuvaji/brain-tumor-classification-mr

Team name:

Schrodingers Kittens

Team members:

Lakshika Rathi

Matthew Kendall

Zain Mughal

Srushti Patil