New AI Framework Segments 167 Body Structures Across 22,000 CT Scans
Researchers present CADS, a framework pairing a 22,022-scan dataset with complete annotations of 167 anatomical structures and a whole-body CT ...
Researchers present CADS, a framework pairing a 22,022-scan dataset with complete annotations of 167 anatomical structures and a whole-body CT ...
A U-net trained entirely on synthetic radar images outperforms the operational clutter-filtering method used by Deutscher Wetterdienst on expert-labeled test ...
A ResNeXt101-UNet deep learning model segments ten mineral phases in petrographic thin sections, reaching a weighted F1-score of 0.863 over ...
A dual-decoder deep-learning network localized 14 shoulder bony landmarks on contralateral CT scans with a mean radial error of 2.1 ...
A new U-Net-based framework uses anatomy-guided, spatially varying regularization to reconstruct chest CT images from sparse-view data with improved performance ...
An automated deep learning pipeline measured skeletal muscle and fat with high agreement from same-day whole-body MRI and low-dose PET/CT ...
A genetically optimized U-Net framework segments athletes' bodies in video with high accuracy and flags visually abnormal knee, ankle, and ...
A systematic review of 127 studies finds deep learning tools for cerebrovascular planning advancing rapidly, while small vessel segmentation, material ...
A study of 3504 individual breast microcalcifications scanned with high-resolution 3D micro-CT shows that the tissue surrounding each calcium deposit ...
Researchers report a test-time fine-tuning approach that adapts large-scale vision foundation models to segment electronic waste, cutting end-to-end processing time ...
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© 2026 Scienmag - Science Magazine