CFT-Triplet improves AI detection of thin pulmonary fissures
A hybrid AI framework combining Mamba2 context modeling, frequency-domain refinement and local texture analysis outperformed leading baselines for detecting pulmonary ...
A hybrid AI framework combining Mamba2 context modeling, frequency-domain refinement and local texture analysis outperformed leading baselines for detecting pulmonary ...
UAC-Net combined contextual attention and multi-scale feature fusion in a shared neural network that classified three brain-tumor types and delineated ...
A new deep learning architecture called TexTNet integrates local binary pattern texture features into a Swin Transformer's attention mechanism to ...
For millions of people living with gout, the painful reality of the disease is written in lumps of crystallized uric ...
A new PLOS One study reports a Harris Hawks-optimized bilateral segmentation deep learning network that detects wild animals with 99.8 ...
A systematic review of 284 studies maps how AI is transforming breast cancer imaging, from CNN detection and foundation-model segmentation ...
A new machine learning study shows that fusing shape biomarkers from the lungs and mediastinum on pediatric chest X-rays can ...
Researchers in India have built a unified deep learning framework that classifies brain tumors in MRI scans with 98.52 percent ...
A new computational study shows that AI imaging systems judged accurate on individual photographs can produce badly distorted measurements of ...
A new expert-validated dataset provides multi-label artifact annotations for over 20,000 dermoscopic images, exposing the visual noise that undermines AI ...
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© 2026 Scienmag - Science Magazine