Zusammenfassung
Although video classification is a well addressed task in computer vision (CV), corresponding CV methods have so far only rarely been translated to the automatic assessment of X-ray digital subtraction angiography (DSA) imaging. We demonstrate the feasibility of a respective method translation by making the first attempt on automatic treatment in cerebral ischemia (TICI) scoring. [1] In a clinical setting, the TICI score is used to evaluate the initial as well as the perfusion state after thrombectomy, i.e. the intervention success.
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Nielsen M, Waldmann M, Sentker T, et al. Time matters: handling spatio-temporal perfusion information for automated TICI scoring. Proc MICCAI. 2020;part I:86–96.
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© 2021 Der/die Autor(en), exklusiv lizenziert durch Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature
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Nielsen, M., Waldmann, M., Sentker, T., Frölich, A., Fiehler, J., Werner, R. (2021). Abstract: Time Matters. In: Palm, C., Deserno, T.M., Handels, H., Maier, A., Maier-Hein, K., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2021. Informatik aktuell. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-33198-6_72
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DOI: https://doi.org/10.1007/978-3-658-33198-6_72
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