Artificial Intelligence Medical Compendium

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

Showing 1,291 to 1,300 of 213,568 articles

Cross-Coordinate Correspondence Pruning for Image-to-Point Cloud Registration

arXiv Jul 19, 2026
Recent detection-free approaches have shown significant efficacy in image-to-point cloud (I2P) registration by employing a coarse-to-fine matching pipeline. In the coarse stage, down-sampled image features and voxelized point cloud features are typic... read more 
Computer Vision and Pattern Recognition

Induce to Empower: Improving Lightweight Baselines via Foundation Model Induction for Generalized Polyp Segmentation

arXiv Jul 19, 2026
Automated polyp segmentation in colonoscopy continues to pose challenges due to substantial appearance variations and indistinct polyp boundaries. Although emerging foundation models (FMs) such as DINOv2, SAM, and OneFormer, demonstrate remarkable ge... read more 
Computer Vision and Pattern Recognition

VecFontLLM: Anchor-Guided Direct Synthesis of Chinese Vector Fonts

arXiv Jul 19, 2026
Direct generation of Chinese vector fonts is a challenging and ongoing problem. A Chinese vector glyph contains complex component structure, anchor layout, and Bézier curve details, which work at different scales, but a standard vector sequence write... read more 
Computer Vision and Pattern Recognition

PACE: Polar Axis-Conditioned Estimation for PairUAV Relative Localization

arXiv Jul 19, 2026
PairUAV relative localization maps two UAV images to a polar navigation command. Although heading and range share the same pairwise pose context, treating them as homogeneous coordinates forces both outputs to use the same decoder evidence and optimi... read more 
Computer Vision and Pattern Recognition

MIS-HCC: Hierarchical Channel Clustering for Efficient Medical Image Segmentation

arXiv Jul 19, 2026
Medical image segmentation models require both high accuracy and lightweight design to accommodate real-world medical applications. The deployment of these models on resource-limited medical platforms remains a significant challenge due to their high... read more 
Computer Vision and Pattern Recognition

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation

arXiv Jul 19, 2026
Interactive egocentric medical image segmentation (IEMIS) plays an important role in smart-glasses-assisted medical image review, segmenting the medical targets a clinician refers to from their egocentric view. Once it succeeds, the object-level visu... read more 
Computer Vision and Pattern Recognition

A multiverse-consensus pipeline for reproducible feature selection in untargeted LC-MS metabolomics

arXiv Jul 19, 2026
Background: Untargeted LC-MS metabolomics requires a long chain of preprocessing decisions, each with several equally defensible options. Analysts typically commit to one pipeline and report the resulting feature shortlist. How strongly that shortlis... read more 
Machine Learning q-bio.GN

Kernel Regression with Tensor Trains and Hadamard Overparameterization

arXiv Jul 19, 2026
Kernel regression with tensor trains and Hadamard overparameterization (KReTTaH) is introduced as a training-data-free, interpretable, and nonparametric framework for multi-way data imputation. The imputation problem is reformulated as regression in ... read more 
Machine Learning cs.LG eess.SP

Automating Visual Recognition of Leprosy in Wild Chimpanzees

arXiv Jul 19, 2026
Leprosy (Mycobacterium leprae) has been confirmed in wild western chimpanzees (Pan troglodytes verus) in West Africa, presenting as clear and progressive visual symptoms. Manual review of camera-trap footage at landscape scale is infeasible, motivati... read more 
Computer Vision and Pattern Recognition

Does Super-Resolution Preserve Defect Evidence? A Low-False-Call Benchmark for Semiconductor Inspection

arXiv Jul 19, 2026
Super-resolution can make inspection images appear sharper without preserving the evidence needed to detect a defect. We study this failure mode with a benchmark that separates reconstruction from detection and evaluates both at a predeclared low fal... read more 
Computer Vision and Pattern Recognition
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