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Interpretable surface-based detection of focal cortical dysplasias: a MELD study
[article]
2021
medRxiv
pre-print
One outstanding challenge for machine learning in diagnostic biomedical imaging is algorithm interpretability. A key application is the identification of subtle epileptogenic focal cortical dysplasias (FCDs) from structural MRI. FCDs are difficult to visualise on structural MRI but are often amenable to surgical resection. We aimed to develop an open-source, interpretable, surface-based machine-learning algorithm to automatically identify FCDs on heterogeneous structural MRI data from epilepsy
doi:10.1101/2021.12.13.21267721
fatcat:kr6oqk3mmbhydjwlrymdom533u