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Literature Review The U-Net architecture (Ronneberger, Fischer & Brox, 2015), has become a widely adopted convolutional neural network (CNN) for image segmentation tasks. It has particularly found extensive applications in medical image analysis, such as tumor detection and cell segmentation. This literature review aims to explore the U-Net architecture and various studies that have focused on optimizing its performance.
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