Artificial Intelligence Medical Compendium

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

Showing 58,421 to 58,430 of 227,634 articles

UCAD: Uncertainty-guided Contour-aware Displacement for semi-supervised medical image segmentation

arXiv Jan 24, 2026
Existing displacement strategies in semi-supervised segmentation only operate on rectangular regions, ignoring anatomical structures and resulting in boundary distortions and semantic inconsistency. To address these issues, we propose UCAD, an Uncert... read more 
Computer Vision and Pattern Recognition

ONRW: Optimizing inversion noise for high-quality and robust watermark

arXiv Jan 24, 2026
Watermarking methods have always been effective means of protecting intellectual property, yet they face significant challenges. Although existing deep learning-based watermarking systems can hide watermarks in images with minimal impact on image qua... read more 
Computer Vision and Pattern Recognition cs.AI

HAAF: Hierarchical Adaptation and Alignment of Foundation Models for Few-Shot Pathology Anomaly Detection

arXiv Jan 24, 2026
Precision pathology relies on detecting fine-grained morphological abnormalities within specific Regions of Interest (ROIs), as these local, texture-rich cues - rather than global slide contexts - drive expert diagnostic reasoning. While Vision-Langu... read more 
Computer Vision and Pattern Recognition

CoT-Seg: Rethinking Segmentation with Chain-of-Thought Reasoning and Self-Correction

arXiv Jan 24, 2026
Existing works of reasoning segmentation often fall short in complex cases, particularly when addressing complicated queries and out-of-domain images. Inspired by the chain-of-thought reasoning, where harder problems require longer thinking steps/tim... read more 
Computer Vision and Pattern Recognition

Coronary Artery Segmentation and Vessel-Type Classification in X-Ray Angiography

arXiv Jan 24, 2026
X-ray coronary angiography (XCA) is the clinical reference standard for assessing coronary artery disease, yet quantitative analysis is limited by the difficulty of robust vessel segmentation in routine data. Low contrast, motion, foreshortening, ove... read more 
Computer Vision and Pattern Recognition cs.AI

Entropy-Guided Agreement-Diversity: A Semi-Supervised Active Learning Framework for Fetal Head Segmentation in Ultrasound

arXiv Jan 24, 2026
Fetal ultrasound (US) data is often limited due to privacy and regulatory restrictions, posing challenges for training deep learning (DL) models. While semi-supervised learning (SSL) is commonly used for fetal US image analysis, existing SSL methods ... read more 
Image and Video Processing cs.CV

Bayesian quantum sensing using graybox machine learning

arXiv Jan 24, 2026
Quantum sensors offer significant advantages over classical devices in spatial resolution and sensitivity, enabling transformative applications across materials science, healthcare, and beyond. Their practical performance, however, is often constrain... read more 
Quantum Physics cs.LG eess.SP

ReflexSplit: Single Image Reflection Separation via Layer Fusion-Separation

arXiv Jan 24, 2026
Single Image Reflection Separation (SIRS) disentangles mixed images into transmission and reflection layers. Existing methods suffer from transmission-reflection confusion under nonlinear mixing, particularly in deep decoder layers, due to implicit f... read more 
Computer Vision and Pattern Recognition

Identifying and Correcting Label Noise for Robust GNNs via Influence Contradiction

arXiv Jan 24, 2026
Graph Neural Networks (GNNs) have shown remarkable capabilities in learning from graph-structured data with various applications such as social analysis and bioinformatics. However, the presence of label noise in real scenarios poses a significant ch... read more 
Machine Learning

PhaSR: Generalized Image Shadow Removal with Physically Aligned Priors

arXiv Jan 24, 2026
Shadow removal under diverse lighting conditions requires disentangling illumination from intrinsic reflectance, a challenge compounded when physical priors are not properly aligned. We propose PhaSR (Physically Aligned Shadow Removal), addressing th... read more 
Computer Vision and Pattern Recognition
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