A team of theoretical researchers has found duality can unveil non-invertible symmetry protected topological phases, which ...
Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
Abstract: Patient-reported outcomes (PROs), directly captured from cancer patients undergoing radiation therapy, play a crucial role in guiding clinicians’ counseling on treatment-related toxicities.
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results