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Found 2 papers, 1 papers with code
Data-driven spatio-temporal modelling of glioblastoma
Mathematical oncology provides unique and invaluable insights into tumour growth on both the microscopic and macroscopic levels.
Automatic structural parcellation of mouse brain MRI using multi-atlas label fusion
The segmentation accuracy of the multi-atlas framework was evaluated using publicly available mouse brain atlas databases with pre-segmented manually labelled anatomical structures as the gold standard, and optimised parameters were obtained for the STEPS algorithm in the label fusion to achieve the best segmentation accuracy.
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