Uncertainty-aware multimodal model evaluated for cervical-cell classification
An abstract reports that an uncertainty-aware proof-of-concept model classified 6,849 cervical-cell images with an AUC-ROC of 0.993, but synthetic auxiliary ...
An abstract reports that an uncertainty-aware proof-of-concept model classified 6,849 cervical-cell images with an AUC-ROC of 0.993, but synthetic auxiliary ...
A multimodal SegFormer system measured live-chicken shank length through anatomical masks and geometric anchors, achieving low repeated-measurement variation but substantial ...
A multicenter study shows a 2.5D Transformer-based AI framework combining clinical data, MRI radiomics and deep learning can reliably distinguish ...
Every language learner knows the feeling: the eyes keep moving across the text, but the mind has quietly left the ...
A new asymmetric AI fusion framework that treats dermoscopic images as the primary representation and clinical photos as a corrective ...
A new review proposes a Dynamic-Spectral Coupling framework that fuses EEG spectral parameters, including 1/f aperiodic components, with dynamic fMRI ...
The distinction between local vibration responses and machine-level load variations reflects a fundamental division in how rotating and reciprocating machinery ...
A new dual-modality deep learning framework called DHF-DTI combines sequence and graph data with cross-attention fusion and supervised contrastive learning ...
A new framework combines conditional GANs, expert-calibrated aesthetic scoring and safe reinforcement learning to let a 23-joint humanoid robot generate ...
A multimodal deep learning model combining MRI scans with clinical data classifies Alzheimer's disease stages with up to 95 percent ...
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© 2025 Scienmag - Science Magazine