Abstract: Brain MRI segmentation is a crucial task in medical image analysis, offering vital insights for the diagnosis and treatment of various neurological disorders. This paper introduces an advanced deep learning-based method for the segmentation of brain MRI images, leveraging the power of convolutional neural networks (CNNs) to achieve precise delineation of brain structures. Our approach demonstrates significant improvements over traditional segmentation techniques, highlighting its potential as a reliable and efficient tool for clinical applications. The results underscore the robustness and accuracy of our model, paving the way for its integration into routine medical practice to enhance diagnostic accuracy and patient outcomes.
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DOI:
10.17148/IJARCCE.2024.13846
