Artificial Intelligence Medical Compendium

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

Showing 37,401 to 37,410 of 223,469 articles

Progressive Prompt-Guided Cross-Modal Reasoning for Referring Image Segmentation

arXiv Mar 30, 2026
Referring image segmentation aims to localize and segment a target object in an image based on a free-form referring expression. The core challenge lies in effectively bridging linguistic descriptions with object-level visual representations, especia... read more 
Computer Vision and Pattern Recognition

CLIP-AUTT: Test-Time Personalization with Action Unit Prompting for Fine-Grained Video Emotion Recognition

arXiv Mar 30, 2026
Personalization in emotion recognition (ER) is essential for an accurate interpretation of subtle and subject-specific expressive patterns. Recent advances in vision-language models (VLMs) such as CLIP demonstrate strong potential for leveraging join... read more 
Computer Vision and Pattern Recognition

FedDES: Graph-Based Dynamic Ensemble Selection for Personalized Federated Learning

arXiv Mar 30, 2026
Statistical heterogeneity in Federated Learning (FL) often leads to negative transfer, where a single global model fails to serve diverse client distributions. Personalized federated learning (pFL) aims to address this by tailoring models to individu... read more 
Machine Learning

Physically Inspired Gaussian Splatting for HDR Novel View Synthesis

arXiv Mar 30, 2026
High dynamic range novel view synthesis (HDR-NVS) reconstructs scenes with dynamic details by fusing multi-exposure low dynamic range (LDR) views, yet it struggles to capture ambient illumination-dependent appearance. Implicitly supervising HDR conte... read more 
Computer Vision and Pattern Recognition

Adapting SAM to Nuclei Instance Segmentation and Classification via Cooperative Fine-Grained Refinement

arXiv Mar 30, 2026
Nuclei instance segmentation is critical in computational pathology for cancer diagnosis and prognosis. Recently, the Segment Anything Model has demonstrated exceptional performance in various segmentation tasks, leveraging its rich priors and powerf... read more 
Computer Vision and Pattern Recognition

Efficient Domain Adaptation for Text Line Recognition via Decoupled Language Models

arXiv Mar 30, 2026
Optical character recognition remains critical infrastructure for document digitization, yet state-of-the-art performance is often restricted to well-resourced institutions by prohibitive computational barriers. End-to-end transformer architectures a... read more 
Computer Vision and Pattern Recognition cs.LG

Bit-Identical Medical Deep Learning via Structured Orthogonal Initialization

arXiv Mar 30, 2026
Deep learning training is non-deterministic: identical code with different random seeds produces models that agree on aggregate metrics but disagree on individual predictions, with per-class AUC swings exceeding 20 percentage points on rare clinical ... read more 
Machine Learning cs.AI

Object Detection Based on Distributed Convolutional Neural Networks

arXiv Mar 30, 2026
Based on the Distributed Convolutional Neural Network(DisCNN), a straightforward object detection method is proposed. The modules of the output vector of a DisCNN with respect to a specific positive class are positively monotonic with the presence pr... read more 
Computer Vision and Pattern Recognition

Physics-Embedded Feature Learning for AI in Medical Imaging

arXiv Mar 30, 2026
Deep learning (DL) models have achieved strong performance in an intelligence healthcare setting, yet most existing approaches operate as black boxes and ignore the physical processes that govern tumor growth, limiting interpretability, robustness, a... read more 
Machine Learning eess.IV

AIBench: Evaluating Visual-Logical Consistency in Academic Illustration Generation

arXiv Mar 30, 2026
Although image generation has boosted various applications via its rapid evolution, whether the state-of-the-art models are able to produce ready-to-use academic illustrations for papers is still largely unexplored.Directly comparing or evaluating th... read more 
Computer Vision and Pattern Recognition
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