New algorithm boosts accuracy, speed of lung tumour identification

Computing scientists at the University of Alberta have developed a neural network that outperforms other state-of-the-art methods of identifying lung tumours from MRI scans—an advance that could help reduce damage to healthy tissue during radiation treatment.

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