Abstract: This paper introduces an enhanced U-Net network designed to extract fine crack features against complex backgrounds and balance crack pixel categories for bridge crack segmentation.
Abstract: Metaheuristics are widely recognized gradient-free solvers to hard problems that do not meet the rigorous mathematical assumptions of conventional solvers. The automated design of ...
Objectives This systematic review aims to critically appraise the performance and quality of deep learning (DL) tools for cardiac structure segmentation on CT. Methods Embase and Medline databases ...
For Q1 2026, Lynch shared, "We expect first quarter revenue of $917 million to $937 million, adjusted operating income of $168 million to $175 million, adjusted operating margins of 18.4% to 18.6%.
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