The estimates of traditional segmentation CNNs for the prediction of the follow-up tissue outcome in strokes are not yet accurate enough or capable of properly modeling the growth mechanisms of ischaemic stroke [1]. In our previous shape space interpolation approach [2], the prediction of the follow-up lesion shape has been bounded using core and penumbra segmentation estimates as priors. One of the challenges is to define well-suited growth constraints, as the transition from one to another shape may still result in a very unrealistic spatial evolution of the stroke.
CITATION STYLE
Lucas, C., Aulmann, L. F., Kemmling, A., Mamlouk, A. M., & Heinrich, M. P. (2020). Abstract: estimation of the principal ischaemic stroke growth directions for predicting tissue outcomes. In Informatik aktuell (p. 143). Springer. https://doi.org/10.1007/978-3-658-29267-6_29
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