Systems and methods for analysis of computed tomography (ct) images

Abstract

Systems and methods for detecting visual findings such as visual anomaly findings in computed tomography (CT) scans. The method includes: receiving a series of anatomical images obtained from a computed tomography (CT) scan of a head of a subject; generating, using the series of anatomical images by a preprocessing layer: a spatial 3D tensor which represents a 3D spatial model of the head of the subject; generating, using the spatial 3D tensor by a convolutional neural network (CNN) model: at least one 3D feature tensor; and classifying, using at least one of the 3D feature tensors by the CNN model: each of a plurality of possible visual anomaly findings as being present versus absent, the plurality of possible visual anomaly findings having a hierarchal relationship based on a hierarchical ontology tree.

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