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PolyU develops novel AI graph neural network models to unravel interdisciplinary complexities in image recognition and neuroscience

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
IEEE

A Hybrid Quantum-Classical Approach for Multi-Class Skin Disease Classification Using a 4-Qubit Model

Abstract: Quantum machine learning (QML) presents a promising avenue for addressing complex classification challenges, yet its application in medical imaging remains largely unexplored. This work ...
IEEE

Hybrid Neural Network Framework for Multiclass Classification of Kidney Stones from CT scans

Abstract: In order to diagnose and evaluate illnesses, 3D medical imaging may identify and extract a variety of anatomical traits, one of which is kidney stones. Segmenting renal stones from abdominal ...