Artificial Intelligence Medical Compendium

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

Showing 47,631 to 47,640 of 224,199 articles

Training-Free Multi-Concept Image Editing

arXiv Feb 24, 2026
Editing images with diffusion models without training remains challenging. While recent optimisation-based methods achieve strong zero-shot edits from text, they struggle to preserve identity or capture details that language alone cannot express. Man... read more 
Computer Vision and Pattern Recognition

FLIM Networks with Bag of Feature Points

arXiv Feb 24, 2026
Convolutional networks require extensive image annotation, which can be costly and time-consuming. Feature Learning from Image Markers (FLIM) tackles this challenge by estimating encoder filters (i.e., kernel weights) from user-drawn markers on discr... read more 
Computer Vision and Pattern Recognition

Hybrid Fusion: One-Minute Efficient Training for Zero-Shot Cross-Domain Image Fusion

arXiv Feb 24, 2026
Image fusion seeks to integrate complementary information from multiple sources into a single, superior image. While traditional methods are fast, they lack adaptability and performance. Conversely, deep learning approaches achieve state-of-the-art (... read more 
Computer Vision and Pattern Recognition

MUSE: Harnessing Precise and Diverse Semantics for Few-Shot Whole Slide Image Classification

arXiv Feb 24, 2026
In computational pathology, few-shot whole slide image classification is primarily driven by the extreme scarcity of expert-labeled slides. Recent vision-language methods incorporate textual semantics generated by large language models, but treat the... read more 
Computer Vision and Pattern Recognition

When Safety Collides: Resolving Multi-Category Harmful Conflicts in Text-to-Image Diffusion via Adaptive Safety Guidance

arXiv Feb 24, 2026
Text-to-Image (T2I) diffusion models have demonstrated significant advancements in generating high-quality images, while raising potential safety concerns regarding harmful content generation. Safety-guidance-based methods have been proposed to mitig... read more 
Computer Vision and Pattern Recognition

When Safety Collides: Resolving Multi-Category Harmful Conflicts in Text-to-Image Diffusion via Adaptive Safety Guidance

arXiv Feb 24, 2026
Text-to-Image (T2I) diffusion models have demonstrated significant advancements in generating high-quality images, while raising potential safety concerns regarding harmful content generation. Safety-guidance-based methods have been proposed to mitig... read more 
Computer Vision and Pattern Recognition

TextPecker: Rewarding Structural Anomaly Quantification for Enhancing Visual Text Rendering

arXiv Feb 24, 2026
Visual Text Rendering (VTR) remains a critical challenge in text-to-image generation, where even advanced models frequently produce text with structural anomalies such as distortion, blurriness, and misalignment. However, we find that leading MLLMs a... read more 
Computer Vision and Pattern Recognition

TextPecker: Rewarding Structural Anomaly Quantification for Enhancing Visual Text Rendering

arXiv Feb 24, 2026
Visual Text Rendering (VTR) remains a critical challenge in text-to-image generation, where even advanced models frequently produce text with structural anomalies such as distortion, blurriness, and misalignment. However, we find that leading MLLMs a... read more 
Computer Vision and Pattern Recognition

Predicting Sentence Acceptability Judgments in Multimodal Contexts

arXiv Feb 24, 2026
Previous work has examined the capacity of deep neural networks (DNNs), particularly transformers, to predict human sentence acceptability judgments, both independently of context, and in document contexts. We consider the effect of prior exposure to... read more 
Artificial Intelligence cs.CL

Computing a Characteristic Orientation for Rotation-Independent Image Analysis

arXiv Feb 24, 2026
Handling geometric transformations, particularly rotations, remains a challenge in deep learning for computer vision. Standard neural networks lack inherent rotation invariance and typically rely on data augmentation or architectural modifications to... read more 
Computer Vision and Pattern Recognition
Popular Topics
Recent Journals