Artificial Intelligence Medical Compendium

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

Showing 59,601 to 59,610 of 228,014 articles

Context Patch Fusion With Class Token Enhancement for Weakly Supervised Semantic Segmentation

arXiv Jan 21, 2026
Weakly Supervised Semantic Segmentation (WSSS), which relies only on image-level labels, has attracted significant attention for its cost-effectiveness and scalability. Existing methods mainly enhance inter-class distinctions and employ data augmenta... read more 
Computer Vision and Pattern Recognition

DeepMoLM: Leveraging Visual and Geometric Structural Information for Molecule-Text Modeling

arXiv Jan 21, 2026
AI models for drug discovery and chemical literature mining must interpret molecular images and generate outputs consistent with 3D geometry and stereochemistry. Most molecular language models rely on strings or graphs, while vision-language models o... read more 
Computer Vision and Pattern Recognition cs.CL cs.MM

Safeguarding Facial Identity against Diffusion-based Face Swapping via Cascading Pathway Disruption

arXiv Jan 21, 2026
The rapid evolution of diffusion models has democratized face swapping but also raises concerns about privacy and identity security. Existing proactive defenses, often adapted from image editing attacks, prove ineffective in this context. We attribut... read more 
Computer Vision and Pattern Recognition

Enhancing Text-to-Image Generation via End-Edge Collaborative Hybrid Super-Resolution

arXiv Jan 21, 2026
Artificial Intelligence-Generated Content (AIGC) has made significant strides, with high-resolution text-to-image (T2I) generation becoming increasingly critical for improving users' Quality of Experience (QoE). Although resource-constrained edge com... read more 
Computer Vision and Pattern Recognition

Render-of-Thought: Rendering Textual Chain-of-Thought as Images for Visual Latent Reasoning

arXiv Jan 21, 2026
Chain-of-Thought (CoT) prompting has achieved remarkable success in unlocking the reasoning capabilities of Large Language Models (LLMs). Although CoT prompting enhances reasoning, its verbosity imposes substantial computational overhead. Recent work... read more 
Computation and Language cs.CV

ReinPath: A Multimodal Reinforcement Learning Approach for Pathology

arXiv Jan 21, 2026
Interpretability is significant in computational pathology, leading to the development of multimodal information integration from histopathological image and corresponding text data.However, existing multimodal methods have limited interpretability d... read more 
Computer Vision and Pattern Recognition

PAColorHolo: A Perceptually-Aware Color Management Framework for Holographic Displays

arXiv Jan 21, 2026
Holographic displays offer significant potential for augmented and virtual reality applications by reconstructing wavefronts that enable continuous depth cues and natural parallax without vergence-accommodation conflict. However, despite advances in ... read more 
Graphics

Using Multi-Instance Learning to Identify Unique Polyps in Colon Capsule Endoscopy Images

arXiv Jan 21, 2026
Identifying unique polyps in colon capsule endoscopy (CCE) images is a critical yet challenging task for medical personnel due to the large volume of images, the cognitive load it creates for clinicians, and the ambiguity in labeling specific frames.... read more 
Computer Vision and Pattern Recognition

Does medical specialization of VLMs enhance discriminative power?: A comprehensive investigation through feature distribution analysis

arXiv Jan 21, 2026
This study investigates the feature representations produced by publicly available open source medical vision-language models (VLMs). While medical VLMs are expected to capture diagnostically relevant features, their learned representations remain un... read more 
Computer Vision and Pattern Recognition

Synthetic Data Augmentation for Multi-Task Chinese Porcelain Classification: A Stable Diffusion Approach

arXiv Jan 21, 2026
The scarcity of training data presents a fundamental challenge in applying deep learning to archaeological artifact classification, particularly for the rare types of Chinese porcelain. This study investigates whether synthetic images generated throu... read more 
Computer Vision and Pattern Recognition cs.LG
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