AI Learns to Spot Liver Tumors Even When CT Scans Are Missing Phases
A new deep-learning network called MFANet modestly outperformed leading models at segmenting liver tumors on CT scans even when some ...
A new deep-learning network called MFANet modestly outperformed leading models at segmenting liver tumors on CT scans even when some ...
A prospective Chinese study shows that a standardized oral contrast-enhanced ultrasound flowchart stages gastric cancer depth more accurately than contrast-enhanced ...
A rare ileoileocolic intussusception in a four-month-old infant evaded the classic ultrasound target sign and was only identified through a ...
A new meta-analysis of eleven studies finds that AI-driven analysis of routine contrast-enhanced CT scans can predict the Ki-67 proliferation ...
Researchers have built an interpretable 2.5D deep learning model that fuses contrast-enhanced CT features with clinical variables to reliably distinguish ...
Mayo Clinic radiologists report that iodine density imaging from multi-energy CT can reveal ablation margins after pulmonary cryoablation, potentially providing ...
A rare simple epithelial hypopharyngeal cyst caused sudden, life-threatening airway obstruction in a previously healthy three-year-old, highlighting the diagnostic roles ...
Chinese researchers have developed interpretable machine learning models that combine CT radiomic features with routine blood indicators to diagnose gastrointestinal ...
A 55-year-old man coughing up blood was found to have lived his whole life without a left pulmonary artery, a ...
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© 2025 Scienmag - Science Magazine