AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
A Multi-Guided and Pixel Enhancement model (MPE) is proposed to achieve targeted optimization of the LLM in RRG tasks to solve the dual challenges of blurring and noise interference in medical images.
Modern Medical Imaging methods like X-ray, Ultrasound, CT scan, and MRI are important technologies used to diagnose various diseases since they help healthcare professionals identify the presence of specific structures inside patient's bodies. However, these modern techniques may produce unreliable results that lead to...
MRD-UNet provides a practical balance between segmentation accuracy and computational efficiency and outperforms baseline CNNs and performs comparably to heavier transformer-based models while using significantly fewer parameters.
Comparisons across all datasets confirm that the proposed framework exhibits strong robustness and generalization capability when processing multiple medical imaging modalities, thereby providing reliable technical support for computer-aided medical diagnosis systems.
Manual delineation is time-consuming, and inter-reader variability is high, making accurate delineation of glioma subregions in multimodal magnetic resonance imaging (MRI) important for treatment planning and longitudinal assessment. Current automatic techniques have limitations in identifying small enhancing regions,...
In a controlled study that fixes the backbone, data split, target reports, and adaptation while varying only the injected grounding, perception-derived facts outperform retrieved prior reports, retrieval becomes redundant once facts are present, and end-to-end predicted facts remain effective without any ground-truth a...
A hybrid Neural Network-Transformer encoder trained on four complimentary datasets maintains competitive accuracy across all four datasets while producing more retrieval-relevant embeddings and much more consistent performance under degraded queries suggests that the model may serve as a promising foundation for future...
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