Artificial Intelligence Medical Compendium

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

Showing 64,381 to 64,390 of 231,309 articles

From Performance to Practice: Knowledge-Distilled Segmentator for On-Premises Clinical Workflows

arXiv Jan 14, 2026
Deploying medical image segmentation models in routine clinical workflows is often constrained by on-premises infrastructure, where computational resources are fixed and cloud-based inference may be restricted by governance and security policies. Whi... read more 
Computer Vision and Pattern Recognition

N-EIoU-YOLOv9: A Signal-Aware Bounding Box Regression Loss for Lightweight Mobile Detection of Rice Leaf Diseases

arXiv Jan 14, 2026
In this work, we propose N EIoU YOLOv9, a lightweight detection framework based on a signal aware bounding box regression loss derived from non monotonic gradient focusing and geometric decoupling principles, referred to as N EIoU (Non monotonic Effi... read more 
Computer Vision and Pattern Recognition cs.LG

Architecture inside the mirage: evaluating generative image models on architectural style, elements, and typologies

arXiv Jan 14, 2026
Generative artificial intelligence (GenAI) text-to-image systems are increasingly used to generate architectural imagery, yet their capacity to reproduce accurate images in a historically rule-bound field remains poorly characterized. We evaluated fi... read more 
Computer Vision and Pattern Recognition cs.CY

Interpretable Probability Estimation with LLMs via Shapley Reconstruction

arXiv Jan 14, 2026
Large Language Models (LLMs) demonstrate potential to estimate the probability of uncertain events, by leveraging their extensive knowledge and reasoning capabilities. This ability can be applied to support intelligent decision-making across diverse ... read more 
Machine Learning

SSVP: Synergistic Semantic-Visual Prompting for Industrial Zero-Shot Anomaly Detection

arXiv Jan 14, 2026
Zero-Shot Anomaly Detection (ZSAD) leverages Vision-Language Models (VLMs) to enable supervision-free industrial inspection. However, existing ZSAD paradigms are constrained by single visual backbones, which struggle to balance global semantic genera... read more 
Computer Vision and Pattern Recognition cs.AI

SkinFlow: Efficient Information Transmission for Open Dermatological Diagnosis via Dynamic Visual Encoding and Staged RL

arXiv Jan 14, 2026
General-purpose Large Vision-Language Models (LVLMs), despite their massive scale, often falter in dermatology due to "diffuse attention" - the inability to disentangle subtle pathological lesions from background noise. In this paper, we challenge th... read more 
Computer Vision and Pattern Recognition cs.AI

Equi-ViT: Rotational Equivariant Vision Transformer for Robust Histopathology Analysis

arXiv Jan 14, 2026
Vision Transformers (ViTs) have gained rapid adoption in computational pathology for their ability to model long-range dependencies through self-attention, addressing the limitations of convolutional neural networks that excel at local pattern captur... read more 
Image and Video Processing cs.AI cs.CV

LP-LLM: End-to-End Real-World Degraded License Plate Text Recognition via Large Multimodal Models

arXiv Jan 14, 2026
Real-world License Plate Recognition (LPR) faces significant challenges from severe degradations such as motion blur, low resolution, and complex illumination. The prevailing "restoration-then-recognition" two-stage paradigm suffers from a fundamenta... read more 
Computer Vision and Pattern Recognition cs.AI

Towards Open Environments and Instructions: General Vision-Language Navigation via Fast-Slow Interactive Reasoning

arXiv Jan 14, 2026
Vision-Language Navigation aims to enable agents to navigate to a target location based on language instructions. Traditional VLN often follows a close-set assumption, i.e., training and test data share the same style of the input images and instruct... read more 
Computer Vision and Pattern Recognition

SAM-Aug: Leveraging SAM Priors for Few-Shot Parcel Segmentation in Satellite Time Series

arXiv Jan 14, 2026
Few-shot semantic segmentation of time-series remote sensing images remains a critical challenge, particularly in regions where labeled data is scarce or costly to obtain. While state-of-the-art models perform well under full supervision, their perfo... read more 
Computer Vision and Pattern Recognition
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