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SEGMENTASI MULTI-CLASS BERBASIS TRANSFORMER PADA CITRA MEDIS MRI OTAK
Brain tumor segmentation from Magnetic Resonance Imaging (MRI) is crucial for accurate diagnosis and therapy planning. CNN architectures like U-Net are considered the gold standard, but they have intrinsic limitations in processing long-range spatial context globally. This study proposes the use of a Vision Transformer architecture, specifically UNETR, and compares its performance against a bas…
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- xviii, 53 hlm.; ilus.; 29 cm
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- T1959242026
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