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|a Research on neural network analysis of MRI images of the brain for the diagnosis of brain diseases
|f Tekere Richard, Spitsyn V. G.
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|a References: 6 tit
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|a This study presents a deep learning-based approach for MRI brain disease diagnosis using TransUNet, integrating CNNs, Vision Transformers, and Explainable AI techniques. The proposed system enhances segmentation accuracy and interpretability, bridging the gap between AI research and clinical application
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|t Молодежь и современные информационные технологии
|o сборник трудов XXII Международной научно-практической конференции студентов, аспирантов и молодых ученых, 15–17 апреля 2025 г., Томск
|f под ред. А. С. Беляева
|c Томск
|d 2025
|n Изд-во ТПУ
|u conference_tpu-2025-C04.pdf
|v С. 674-677
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|a Анализ данных и машинное обучение
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|a электронный ресурс
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|a труды учёных ТПУ
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|a Brain Tumor Segmentation
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|a MRI Analysis
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|a Deep Learning
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|a Vision Transformers
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|c specialist in the field of informatics and computer technology
|c Professor of Tomsk Polytechnic University, Doctor of technical sciences
|f 1948-
|g Vladimir Grigorievich
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|u http://earchive.tpu.ru/handle/11683/132287
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