Author:
,Agafonova Y.D.,Gaidel A.V., , ,Zelter P.M., ,Kapishnikov A.V., ,Kuznetsov A.V., , , ,Surovtsev E.N., ,Nikonorov A.V., ,
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.
Publisher
Samara National Research University