Quantum SegNet

Brain scans must be carefully segmented and assessed to diagnose tumours, strokes, and neurodegenerative diseases

Quantum SegNet is an artificial intelligence (AI) solution that uses quantum neural networks (QNNs) to improve brain image analysis

Brain structure categorisation is improved with segmentation processing

The model has to be converted to work on Intel's architecture to minimise latency and optimise inference performance.

Real-time inference optimisation for quicker segmentation was made possible by the Intel Distribution of the OpenVINO Toolkit

The OpenVINO Toolkit, Intel Gaudi (HPU), and the Intel Extension for PyTorch are the main tools used in this project

The project’s objective is to use Quantum Neural Networks (QNNs) to analyse brain pictures