Dual-Path AI Spots Defects by Reconstructing Images Two Ways at Once
Researchers at Shiv Nadar University have developed a dual-path AI framework that combines a residual gated autoencoder with patchwise nearest-neighbor ...
Researchers at Shiv Nadar University have developed a dual-path AI framework that combines a residual gated autoencoder with patchwise nearest-neighbor ...
Researchers at Heidelberg University Hospital developed a machine learning model combining ultrasound, mammography, MRI and clinical data to predict pathological ...
A controlled ablation study shows that classifier design and optimisation, not cross-attention alone, account for most of the improvement a ...
FDA researchers have built HistoART, a system that uses a fine-tuned pathology foundation model to detect six common artifact types ...
A multicenter Chinese validation study of 2,374 critically ill children found the Phoenix sepsis score outperformed pSOFA for predicting in-hospital ...
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© 2025 Scienmag - Science Magazine