Two AI Tools Judging Breast Positioning in Screening Barely Agree
A head-to-head comparison of two automated PGMI-based tools on the same DBT screening images found only 48.2 percent exact agreement ...
A head-to-head comparison of two automated PGMI-based tools on the same DBT screening images found only 48.2 percent exact agreement ...
In a blinded reader study of five fresh tumourectomy specimens, radiologists rated fused grating-interferometry breast CT images significantly higher than ...
Researchers in Naples have developed EDOKS, a transparent image similarity metric that combines Earth Mover's Distance texture analysis with Oklab ...
A new deep learning network grades the gain quality of automated breast ultrasound images with 95.49 percent accuracy, outperforming standard ...
A new open-source Python framework called combHIQA standardizes the preparation, validation, and combination of image quality assessment metrics to make ...
Researchers at Dalian University of Technology have developed PD-Dehaze, a progressive diffusion framework that restores haze-degraded photographs with stable coarse-to-fine ...
Researchers have developed a crow-inspired, reference-free optimization framework that automatically tunes all hyperparameters of iterative CBCT reconstruction algorithms, delivering consistently ...
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© 2026 Scienmag - Science Magazine