Deep Learning on Liver MRI Shows Promise for Detecting Liver Cancer, but Evidence Remains Thin
A systematic review finds that deep learning on liver MRI reaches pooled sensitivity of 0.862 and specificity of 0.916 for ...
A systematic review finds that deep learning on liver MRI reaches pooled sensitivity of 0.862 and specificity of 0.916 for ...
A hybrid deep learning framework that combines ant colony optimization with a spatio-temporal variational autoencoder recognized nine opera teaching postures ...
A controlled study of 3,600 runs finds normalization schemes help mainly at shallow depths while graph homophily predicts how accuracy ...
Deep learning models trained on pre-procedural ultrasound videos predicted the success of transcatheter mitral valve edge-to-edge repair with an AUC ...
A new study from Bahawalpur, Pakistan, finds that transformer models, led by the Swin Transformer, classify cotton leaf diseases more ...
A physics-aware, uncertainty-guided deep learning surrogate has been shown to replace expensive circuit simulations when optimizing ultra-low-power amplifiers for biosignal ...
A new review maps how artificial intelligence is transforming epilepsy diagnosis, seizure prediction, personalized treatment and long-term management, while warning ...
A hybrid ResNet50 and Transformer model achieved 89.7 percent accuracy on the FER2013 facial emotion benchmark, with an ablation study ...
A new review describes how AI-based imaging and sensing technologies can detect packaging film defects that traditional meat inspection methods ...
A Vision Transformer and a convolutional neural network identified Laguerre-Gaussian beam topological charges up to 50 from tiny speckle patches, ...
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© 2025 Scienmag - Science Magazine