ru
ru
Source
Computer Optics
DATE OF PUBLICATION
07/04/2023
Authors
Y.D. Agafonova A.V. Gaidel P.M. Zelter A.V. Kapishnikov E.N. Surovtsev A.V. Nikonorov
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Joint analysis of radiological reports and CT images for automatic validation of pathological brain conditions

Deep learning, Computed tomography, Computer-aided diagnosis, Pattern recognition, Natural language processing

Abstract

We consider a problem of validation of radiological medical reports and computed tomography images for an automated analysis of brain structures. Two methods for solving the problem are proposed: a method based on the ruCLIP multimodal model, and a method based on the joint use of two separate classifiers – for a text report and for a brain CT image. We discuss methods evaluation and the obtained results. The proposed approaches make it possible to correctly classify 99.6% of radiological reports from a test sampling into 15 possible diagnoses.

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