The project, implemented in collaboration with the Moscow Clinical Scientific Center named after AS Loginov, aims to reduce medical errors and speed up biopsy analysis. The university said the neural network was trained on 1.6 million medical images, allowing it to effectively distinguish malignant tumors from non-tumorous changes.
The system provides high accuracy in tumor segmentation and classification using complex neural networks to analyze pathological samples. The development was carried out with the support of the Analytical Center under the Government of the Russian Federation within the framework of the federal project “Artificial Intelligence”.
Source: Ferra
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