Leaner AI Reads Lung Scans: Optimized CNN Beats Heavyweight Models at Their Own Game
Researchers have developed a compact optimized convolutional neural network framework that classifies multiple lung diseases from CT and chest X-ray ...
Researchers have developed a compact optimized convolutional neural network framework that classifies multiple lung diseases from CT and chest X-ray ...
A new U-shaped deep learning network with an attention fusion module outperforms established models in segmenting the liver and its ...
A new confidentiality-preserving spiking neural transformer detects breast cancer in histopathology images with over 98% accuracy while computing entirely on ...
Mayo Clinic researchers show that AI-based spectral reconstruction can halve radiation dose in CT-guided kidney ablations while matching or exceeding ...
A systematic review of 17 studies covering 18,043 people found that whole-body MRI screening without a medical indication mostly yields ...
A retrospective study of 283 cancer patients found kidney abnormalities on 68 percent of oncologic PET/CT scans, yet nearly 70 ...
Researchers have combined singular value decomposition, a decision tree classifier, and a new Frequency Deviation Median Filter to remove salt-and-pepper ...
Researchers show that recalibrating crowdsourced probability judgments with a cognitive model of human bias makes medical image datasets and the ...
A new doctrinal analysis finds that Bangladesh's laws and professional ethics codes are structurally unprepared for AI-driven medical imaging, and ...
New CACA technical guidelines published in Holistic Integrative Oncology standardize every step of thyroid ultrasound, from probe selection and TI-RADS ...
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© 2025 Scienmag - Science Magazine