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Application of deep learning for semantic segmentation in robotic prostatectomy: Comparison of convolutional neural networks and visual transformers

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Purpose: Semantic segmentation is a fundamental part of the surgical application of deep learning. Traditionally. segmentation in vision tasks has been performed using convolutional neural networks (CNNs). but the transformer architecture has recently been introduced and widely investigated. https://www.cridersvillehealthcare.com/product-category/living/
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