Classifying Ruptured Middle Cerebral Artery Aneurysms With a Machine Learning Based, Radiomics-Morphological Model: A Multicentral Study
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DOI: 10.3389/fnins.2021.721268
Abstract: Objective Radiomics and morphological features were associated with aneurysms rupture. However, the multicentral study of their predictive power for specific-located aneurysms rupture is rare. We aimed to determine robust radiomics features related to middle cerebral… read more here.
Keywords: mca aneurysms; morphological model; radiomics morphological; radiomics features ... See more keywords