Deep Learning for Automated Measurement of Hemorrhage and Perihematomal Edema in Supratentorial Intracerebral Hemorrhage
Dhar R, Falcone GJ, Chen Y, Hamzehloo A, Kirsch EP, Noche RB, Roth K, Acosta J, Ruiz A, Phuah CL, Woo D, Gill TM, Sheth KN, Lee JM. Deep Learning for Automated Measurement of Hemorrhage and Perihematomal Edema in Supratentorial Intracerebral Hemorrhage. Stroke 2019, 51: 648-651. PMID: 31805845, PMCID: PMC6993878, DOI: 10.1161/strokeaha.119.027657.Peer-Reviewed Original ResearchConceptsSupratentorial intracerebral hemorrhagePerihematomal edemaIntracerebral hemorrhagePHE volumeResults Two hundred twentyIntracerebral Hemorrhage (ERICH) studyMechanism of injuryIntracerebral hemorrhage patientsSpontaneous intracerebral hemorrhageLarge cohort studyComputed tomography scanSecondary outcomesCohort studyPrimary outcomeHemorrhage patientsSecondary injuryTomography scanHundred twentyMedian volumeLarge cohortHemorrhagePatientsQuantification of hemorrhageFirst cohortDisease biology