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The article presents a novel deep learning model for automated detection and segmentation of brain tumors in MRI images, achieving high accuracy and outperforming existing methods. The proposed approach leverages convolutional neural networks to enable robust and reliable identification of different tumor types, which could significantly assist clinicians in early diagnosis and treatment planning.