Artificial Intelligence Medical Compendium

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

Showing 32,361 to 32,370 of 221,076 articles

Lightweight Low-Light Image Enhancement via Distribution-Normalizing Preprocessing and Depthwise U-Net

arXiv Apr 13, 2026
We present a lightweight two-stage framework for low-light image enhancement (LLIE) that achieves competitive perceptual quality with significantly fewer parameters than existing methods. Our approach combines frozen algorithm-based preprocessing wit... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Structured State-Space Regularization for Compact and Generation-Friendly Image Tokenization

arXiv Apr 13, 2026
Image tokenizers are central to modern vision models as they often operate in latent spaces. An ideal latent space must be simultaneously compact and generation-friendly: it should capture image's essential content compactly while remaining easy to m... read more 
Computer Vision and Pattern Recognition

CDPR: Cross-modal Diffusion with Polarization for Reliable Monocular Depth Estimation

arXiv Apr 13, 2026
Monocular depth estimation is a fundamental yet challenging task in computer vision, especially under complex conditions such as textureless surfaces, transparency, and specular reflections. Recent diffusion-based approaches have significantly advanc... read more 
Computer Vision and Pattern Recognition

Efficient Transceiver Design for Aerial Image Transmission and Large-scale Scene Reconstruction

arXiv Apr 13, 2026
Large-scale three-dimensional (3D) scene reconstruction in low-altitude intelligent networks (LAIN) demands highly efficient wireless image transmission. However, existing schemes struggle to balance severe pilot overhead with the transmission accura... read more 
Computer Vision and Pattern Recognition cs.LG eess.SP

Distributionally Robust K-Means Clustering

arXiv Apr 13, 2026
K-means clustering is a workhorse of unsupervised learning, but it is notoriously brittle to outliers, distribution shifts, and limited sample sizes. Viewing k-means as Lloyd--Max quantization of the empirical distribution, we develop a distributiona... read more 
Machine Learning stat.ML

From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned Learning

arXiv Apr 13, 2026
The integration of Large Language Models (LLMs) into clinical decision support is critically obstructed by their opaque and often unreliable reasoning. In the high-stakes domain of healthcare, correct answers alone are insufficient; clinical practice... read more 
Artificial Intelligence cs.LG

Sparse Hypergraph-Enhanced Frame-Event Object Detection with Fine-Grained MoE

arXiv Apr 13, 2026
Integrating frame-based RGB cameras with event streams offers a promising solution for robust object detection under challenging dynamic conditions. However, the inherent heterogeneity and data redundancy of these modalities often lead to prohibitive... read more 
Computer Vision and Pattern Recognition

Naka-GS: A Bionics-inspired Dual-Branch Naka Correction and Progressive Point Pruning for Low-Light 3DGS

arXiv Apr 13, 2026
Low-light conditions severely hinder 3D restoration and reconstruction by degrading image visibility, introducing color distortions, and contaminating geometric priors for downstream optimization. We present NAKA-GS, a bionics-inspired framework for ... read more 
Computer Vision and Pattern Recognition

Hierarchical Textual Knowledge for Enhanced Image Clustering

arXiv Apr 13, 2026
Image clustering aims to group images in an unsupervised fashion. Traditional methods focus on knowledge from visual space, making it difficult to distinguish between visually similar but semantically different classes. Recent advances in vision-lang... read more 
Computer Vision and Pattern Recognition cs.CL cs.MM

RADA: Region-Aware Dual-encoder Auxiliary learning for Barely-supervised Medical Image Segmentation

arXiv Apr 13, 2026
Deep learning has greatly advanced medical image segmentation, but its success relies heavily on fully supervised learning, which requires dense annotations that are costly and time-consuming for 3D volumetric scans. Barely-supervised learning reduce... read more 
Computer Vision and Pattern Recognition
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