Journal of evaluation in clinical practice
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3D Magnetic Resonance Imaging (3D-MRI) analysis of brain tumours is an important tool for gathering information needed for diagnosis and disease therapy planning. However, during the brain tumor segmentation process existing techniques have segmentation error while identifying tumor location and extended tumor regions due to improper extraction of initial contour points and overlapping tissue intensity distributions. ⋯ The results obtained for the BraTS2020 and Brain Tumor Detection 2020 data sets showed that the proposed model outperforms existing techniques with excellent precision of 97%, 97.5%, recall of 99%, 97.8%, and accuracy of 95.7%, 98.4%, respectively.
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This commentary on Sturmberg and Mercuri's paper 'Every Problem is Embedded in a Greater Whole' [1] argues that those authors have approached complexity from a largely mathematical perspective, drawing on the work of Sumpter. Whilst such an approach allows us to challenge the simple linear causality assumed in randomised controlled trials, it is itself limited. ⋯ It overlooks, for example, how science itself is historically and culturally shaped and how values-driven misunderstandings and conflicts are inevitable when people with different world views come together to try to solve a problem. This paper argues that the mathematical version of complexity thinking is necessary but not sufficient in medical research, and that we need to enhance such thinking further with attention to human values.