AI Reads Fetal MRI Lungs in Seconds, Transforming Prenatal Risk Assessment
A deep learning model segments fetal lungs on MRI in about four seconds with expert-level accuracy across diverse pulmonary hypoplasia ...
A deep learning model segments fetal lungs on MRI in about four seconds with expert-level accuracy across diverse pulmonary hypoplasia ...
Researchers in South Korea have developed a fully automated deep-learning system that uses supervised contrastive learning across multiphase CT scans ...
Researchers in India have built a four-part neural system that uses contrastive learning, graph refinement, and reinforcement learning to find ...
Researchers have developed DPAS-Net, a deep learning framework that maintains remarkably accurate multi-view clustering even when up to 90 percent ...
Researchers at the University of Isfahan have unveiled a wearable glove system and an ultra-compact transformer that recognize continuous multi-digit ...
A new hybrid model called TG-Parser combines Transformer encoders with graph convolutional networks to achieve record-setting accuracy in English grammatical ...
Researchers have developed a memory-augmented CNN-vision transformer autoencoder that uses Farneback optical flow to detect anomalies in surveillance video with ...
A new transformer-based deep learning framework called RefFree-Phaser achieves genotype phasing accuracies above 91 percent without the large reference panels ...
A new deep learning model that embeds Turing-inspired reaction-diffusion mathematics and attention mechanisms into a ResNet50 backbone classifies dermoscopic images ...
A new deep learning framework quantifies anxiety-related physiological arousal from wearable biosignals in continuous time and generates interpretable, constraint-based emotional ...
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© 2025 Scienmag - Science Magazine