Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 19,981 to 19,990 of 215,899 articles

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning

arXiv May 12, 2026
The rapid development of low-altitude economy has driven the proliferation of Unmanned Aerial Vehicle (UAV) applications, including logistics, inspection, and emergency response. However, transmitting high-volume image data from UAVs to ground statio... read more 
Image and Video Processing cs.LG

Pyramid Self-contrastive Learning Framework for Test-time Ultrasound Image Denoising

arXiv May 12, 2026
The inherent electronic and speckle noise complicates clinical interpretation of ultrasound images. Conventional denoising methods rely on explicit noise assumptions whose validity diminishes under composite noise conditions. Learning-based methods r... read more 
Computer Vision and Pattern Recognition cs.AI

M3Net: A Macro-to-Meso-to-Micro Clinical-inspired Hierarchical 3D Network for Pulmonary Nodule Classification

arXiv May 12, 2026
The accurate classification of benign and malignant pulmonary nodules in CT scans is critical for early lung cancer screening, yet remains challenging due to the multi-scale and heterogeneous nature of pulmonary nodules. While deep learning offers po... read more 
Computer Vision and Pattern Recognition

Improving Diffusion Posterior Samplers with Lagged Temporal Corrections for Image Restoration

arXiv May 12, 2026
Diffusion-based posterior sampling (PS) is a leading framework for imaging inverse problems, combining learned priors with measurement constraints. Yet, its standard formulations rely on instantaneous data-consistent estimates, which induce temporal ... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

DistractMIA: Black-Box Membership Inference on Vision-Language Models via Semantic Distraction

arXiv May 12, 2026
Vision-language models (VLMs) are trained on large-scale image-text corpora that may contain private, copyrighted, or otherwise sensitive data, motivating membership inference as a tool for training-data auditing. This is especially challenging for d... read more 
Computer Vision and Pattern Recognition cs.AI

Are Compact Rationales Free? Measuring Tile Selection Headroom in Frozen WSI-MIL

arXiv May 12, 2026
Whole-slide image (WSI) multiple instance learning (MIL) classifiers can achieve strong slide-level AUC while leaving the full-bag prediction opaque. Attention scores are widely reused as post-hoc explanations, but high attention can reflect aggregat... read more 
Image and Video Processing cs.AI cs.CV

CAWI: Copula-Aligned Weight Initialization for Randomized Neural Networks

arXiv May 12, 2026
Randomized neural networks (RdNNs) enable efficient, backpropagation-free training by freezing randomly initialized input-to-hidden weights, which permits a closed-form solution for the output layer. However, conventional random initialization is bli... read more 
Machine Learning

3D Primitives are a Spatial Language for VLMs

arXiv May 12, 2026
Vision-language models (VLMs) exhibit a striking paradox: they can generate executable code that reconstructs a 3D scene from geometric primitives with correct object counts, classes, and approximate positions, yet the same models fail at simpler spa... read more 
Computer Vision and Pattern Recognition cs.AI cs.DB

TrackCraft3R: Repurposing Video Diffusion Transformers for Dense 3D Tracking

arXiv May 12, 2026
Dense 3D tracking from monocular video is fundamental to dynamic scene understanding. While recent 3D foundation models provide reliable per-frame geometry, recovering object motion in this geometry remains challenging and benefits from strong motion... read more 
Computer Vision and Pattern Recognition

A Data Efficiency Study of Synthetic Fog for Object Detection Using the Clear2Fog Pipeline

arXiv May 12, 2026
Object detection in adverse weather is critical for the safety of autonomous vehicles; however, the scarcity of labelled, real-world foggy data remains a significant bottleneck. In this paper, we propose Clear2Fog (C2F), an end-to-end, physics-based ... read more 
Computer Vision and Pattern Recognition
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