Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models ...
A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used Quantum Machine Learning (QML) to identify cancer early.
Akash Parvatikar leads R&D for Histowiz's AI-powered digital pathology platforms, revolutionizing cancer diagnosis. His work ...
Find out how machine learning identifies country-specific health system drivers shaping global cancer survival and highlights ...
A new machine learning tool has identified more than 250,000 cancer research papers that may have been produced by so-called ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
Deep learning analysis of FDG PET-CT improves survival prediction in non-metastatic breast cancer, outperforming standard staging and single modality models while supporting interpretable and ...
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Integrated Monte Carlo and deep learning improve radiotherapy QA
Bridging speed and accuracy in radiation therapy QA Led by Professor Fu Jin, the study addresses a critical challenge in ...
You will be redirected to our submission process. Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...
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