Mixed-format labels for pathology detection and localization in magnetic resonance (mr) imaging

Abstract

Described are systems, techniques, and processes for pathology detection in radiological images. A process can include obtaining a radiological image corresponding to an imaged anatomical area. Based on processing the radiological image using a semantic segmentation neural network, a target map can be generated corresponding to a plurality of candidate anatomical defect locations within the cropped radiological image. At least one volume of interest (VOI) can be generated centered around a particular candidate anatomical defect location within the cropped radiological image. A classification neural network can be used to classify the particular candidate anatomical defect location within the cropped radiological image, wherein classifying the particular candidate anatomical defect location includes determining a pathology associated with the particular candidate anatomical defect location.