Computer-assisted surgical planning systems, despite their enormous support in the decision-making process, have faced challenges in clinical practice mainly due to the difficulty of obtaining 3D patient-specific models. This requires the segmentation of anatomical structures, a process traditionally considered tedious, complex, and imprecise. However, recent advances in artificial intelligence, particularly in convolutional neural networks, have […]
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