Medical image segmentation, the task of tracing the exact outlines of lesions, polyps, and blood vessels in clinical scans, has long been dominated by a trade-off. Convolutional networks excel at capturing fine local detail but struggle to connect distant regions of an image, while transformer-based models reason globally at a steep computational price. A new architecture called ANNE, described in the journal Applied Intelligence by Abel A. Reye…
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