Improved lung cancer diagnosis: quantifying ground glass opacities

Lung cancer is one of the deadliest type of cancer worldwide. Part of the reason is that diagnostic tools have not improved substantially, and even if patients are diagnosed in early stages (I-II) it is difficult to predict the tumour dynamics. This is partly because of the many technical challenges around the visualisation and analysis of CT scan data. Mathematical models, such as reaction diffusion PDE models can help to quantify the temporal density distribution of cells, and to aid predictions for individual patients.

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