The consistently reduced impact of conservative boundaries over extensive ones suggests that, in terms of segmentation strategies, exclusion of ambiguous boundary regions may be preferable over their inclusion.
T. Mulvany, D. Griffiths-King, Lara Worthington et al.· PLoS ONE· 0 citations
Purpose Deep Learning (DL) has transformed cardiac image segmentation, yet its application to congenital heart disease (CHD) remains underexplored, with no prior systematic review in this emerging domain. This review evaluates current DL approaches for CHD CT segmentation, identifies best performing model architectures...
Magnetic Resonance Spectroscopy (MRS) and Apparent Coefficient Maps (ADC) features have previously demonstrated prognostic value, identifying high-risk groups of paediatric medulloblastoma (MB) and predicting patient survival. Despite evidence in diagnostic applications that their multi-modal combination can prov...
T. Mulvany, D. Griffiths-King, K. Crombie et al.· Neuro-Oncology· 0 citations
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