Hybrid AI Model Spots Lung Cancer Subtypes on CT Scans With 92% Accuracy
Researchers in India have developed a hybrid CNN-Transformer deep learning model that classifies lung cancer and its major subtypes from ...
Researchers in India have developed a hybrid CNN-Transformer deep learning model that classifies lung cancer and its major subtypes from ...
Finnish researchers have shown that scout-based angular tube current modulation can cut CBCT radiation dose by up to 20 percent ...
A new review of 41 studies finds that children with chronic diseases can accumulate 20-50 mSv or more of ionizing ...
Researchers have developed a compact four-block residual attention network that classifies Alzheimer's disease and brain tumors from MRI scans with ...
A locked uncertainty-aware AI triage model safely automated about 37 percent of cervical lymph node ultrasound cases while deferring the ...
A comprehensive review of 81 studies finds that AI models for classifying thoracic diseases on chest X-rays show impressive lab ...
Researchers have developed UbiQVision, a framework that fuses explainable AI attributions from deep learning ensembles using Dempster–Shafer evidence theory to ...
Researchers have developed a fully open-source electrical impedance tomography system costing under 100 dollars that brings radiation-free, real-time lung imaging ...
Researchers in India have combined fuzzy logic edge detection with the KAZE feature detector to automatically identify breast masses and ...
Researchers have developed a coarse-to-fine vision transformer framework that disentangles patient motion from contrast agent dynamics to improve the accuracy ...
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© 2025 Scienmag - Science Magazine