Analysing the feasibility of an automated AI-based classifier for detecting paranasal anomalies in the maxillary sinus

Large scale population studies have been performed to analyse the rate of finding sinus opacities in cranial MRIs. It is of interest whether there are findings requiring clarification. Using AI-based methods can automate the detection of the sinus opacities and reduce the workload of clinicians. In this work, a method for AI-based classification was developed in order to automatically recognise paranasal sinus opacities

DDC Class

004: Computer Sciences

610: Medicine, Health

621: Applied Physics

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Analysing the feasibility of an automated AI-based classifier for detecting paranasal anomalies in the maxillary sinus