Artificial Intelligence Medical Compendium

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

Showing 51,991 to 52,000 of 225,279 articles

Weakly Supervised Contrastive Learning for Histopathology Patch Embeddings

arXiv Feb 10, 2026
Digital histopathology whole slide images (WSIs) provide gigapixel-scale high-resolution images that are highly useful for disease diagnosis. However, digital histopathology image analysis faces significant challenges due to the limited training labe... read more 
Computer Vision and Pattern Recognition

OSI: One-step Inversion Excels in Extracting Diffusion Watermarks

arXiv Feb 10, 2026
Watermarking is an important mechanism for provenance and copyright protection of diffusion-generated images. Training-free methods, exemplified by Gaussian Shading, embed watermarks into the initial noise of diffusion models with negligible impact o... read more 
Computer Vision and Pattern Recognition

Equilibrium contrastive learning for imbalanced image classification

arXiv Feb 10, 2026
Contrastive learning (CL) is a predominant technique in image classification, but they showed limited performance with an imbalanced dataset. Recently, several supervised CL methods have been proposed to promote an ideal regular simplex geometric con... read more 
Computer Vision and Pattern Recognition

Singpath-VL Technical Report

arXiv Feb 10, 2026
We present Singpath-VL, a vision-language large model, to fill the vacancy of AI assistant in cervical cytology. Recent advances in multi-modal large language models (MLLMs) have significantly propelled the field of computational pathology. However, ... read more 
Computer Vision and Pattern Recognition

HLGFA: High-Low Resolution Guided Feature Alignment for Unsupervised Anomaly Detection

arXiv Feb 10, 2026
Unsupervised industrial anomaly detection (UAD) is essential for modern manufacturing inspection, where defect samples are scarce and reliable detection is required. In this paper, we propose HLGFA, a high-low resolution guided feature alignment fram... read more 
Computer Vision and Pattern Recognition

SchröMind: Mitigating Hallucinations in Multimodal Large Language Models via Solving the Schrödinger Bridge Problem

arXiv Feb 10, 2026
Recent advancements in Multimodal Large Language Models (MLLMs) have achieved significant success across various domains. However, their use in high-stakes fields like healthcare remains limited due to persistent hallucinations, where generated text ... read more 
Computer Vision and Pattern Recognition

SCA-Net: Spatial-Contextual Aggregation Network for Enhanced Small Building and Road Change Detection

arXiv Feb 10, 2026
Automated change detection in remote sensing imagery is critical for urban management, environmental monitoring, and disaster assessment. While deep learning models have advanced this field, they often struggle with challenges like low sensitivity to... read more 
Computer Vision and Pattern Recognition

DR.Experts: Differential Refinement of Distortion-Aware Experts for Blind Image Quality Assessment

arXiv Feb 10, 2026
Blind Image Quality Assessment, aiming to replicate human perception of visual quality without reference, plays a key role in vision tasks, yet existing models often fail to effectively capture subtle distortion cues, leading to a misalignment with h... read more 
Computer Vision and Pattern Recognition

ECG-IMN: Interpretable Mesomorphic Neural Networks for 12-Lead Electrocardiogram Interpretation

arXiv Feb 10, 2026
Deep learning has achieved expert-level performance in automated electrocardiogram (ECG) diagnosis, yet the "black-box" nature of these models hinders their clinical deployment. Trust in medical AI requires not just high accuracy but also transparenc... read more 
Machine Learning cs.AI cs.CV stat.ME

Delving into Spectral Clustering with Vision-Language Representations

arXiv Feb 10, 2026
Spectral clustering is known as a powerful technique in unsupervised data analysis. The vast majority of approaches to spectral clustering are driven by a single modality, leaving the rich information in multi-modal representations untapped. Inspired... read more 
Computer Vision and Pattern Recognition
Popular Topics
Recent Journals