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
For more details visit Govindhtech.com