Источник
Computer Optics
Дата публикации
04.07.2023
Авторы
Андрей Кузнецов
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
Аннотация
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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