Automated Pathology Detection and Patient Triage in Routinely Acquired Head Computed Tomography Scans.

Tom Finck¹, David Schinz¹, Lioba Grundl¹, Rami Eisawy², Mehmet Yigitsoy², Julia Moosbauer², Franz Pfister², Benedikt Wiestler¹

¹From the Department of Diagnostic and Interventional Neuroradiology, Klinikum Rechts der Isar, Technische Universität München.

²Deepc GmbH, Munich, Germany.

PubMed DOI

Abstract

OBJECTIVES: Anomaly detection systems can potentially uncover the entire spectrum of pathologies through deviations from a learned norm, meaningfully supporting the radiologist's workflow. We aim to report on the utility of a weakly supervised machine learning (ML) tool to detect pathologies in head computed tomography (CT) and adequately triage patients in an unselected patient cohort. MATERIALS…

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