A deep learning model for prognosis prediction after intracranial hemorrhage
Journal of Neuroimaging2022Vol. 33(2), pp. 218–226
Citations Over TimeTop 10% of 2022 papers
Amaia Pérez del Barrio, Anna Salut Esteve Domínguez, Pablo Menéndez Fernández‐Miranda, Pablo Sanz Bellón, D. Rodríguez, L. Lloret Iglesias, Enrique Marqués Fraguela, Andrés A. González Mandly, José A. Vega
Abstract
The proposed hybrid model was able to accurately classify patients into good and poor prognosis. To the best of our knowledge, this is the first ICH prognosis prediction deep learning model. We concluded that deep learning can be applied for prognosis prediction in ICH that could have a great impact on clinical decision-making. Further, hybrid inputs could be a promising technique for deep learning in medical imaging.
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