Artificial Intelligence Medical Compendium

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

Showing 60,531 to 60,540 of 228,072 articles

EmoLat: Text-driven Image Sentiment Transfer via Emotion Latent Space

arXiv Jan 17, 2026
We propose EmoLat, a novel emotion latent space that enables fine-grained, text-driven image sentiment transfer by modeling cross-modal correlations between textual semantics and visual emotion features. Within EmoLat, an emotion semantic graph is co... read more 
Computer Vision and Pattern Recognition

Toward Real-World High-Precision Image Matting and Segmentation

arXiv Jan 17, 2026
High-precision scene parsing tasks, including image matting and dichotomous segmentation, aim to accurately predict masks with extremely fine details (such as hair). Most existing methods focus on salient, single foreground objects. While interactive... read more 
Computer Vision and Pattern Recognition

Conditional Random Fields for Interactive Refinement of Histopathological Predictions

arXiv Jan 17, 2026
Assisting pathologists in the analysis of histopathological images has high clinical value, as it supports cancer detection and staging. In this context, histology foundation models have recently emerged. Among them, Vision-Language Models (VLMs) pro... read more 
Computer Vision and Pattern Recognition cs.AI

Energy-Aware Ensemble Learning for Coffee Leaf Disease Classification

arXiv Jan 17, 2026
Coffee yields are contingent on the timely and accurate diagnosis of diseases; however, assessing leaf diseases in the field presents significant challenges. Although Artificial Intelligence (AI) vision models achieve high accuracy, their adoption is... read more 
Computer Vision and Pattern Recognition

RCDN: Real-Centered Detection Network for Robust Face Forgery Identification

arXiv Jan 17, 2026
Image forgery has become a critical threat with the rapid proliferation of AI-based generation tools, which make it increasingly easy to synthesize realistic but fraudulent facial content. Existing detection methods achieve near-perfect performance w... read more 
Computer Vision and Pattern Recognition

Segment and Matte Anything in a Unified Model

arXiv Jan 17, 2026
Segment Anything (SAM) has recently pushed the boundaries of segmentation by demonstrating zero-shot generalization and flexible prompting after training on over one billion masks. Despite this, its mask prediction accuracy often falls short of the p... read more 
Computer Vision and Pattern Recognition cs.AI

Principal Component Analysis-Based Terahertz Self-Supervised Denoising and Deblurring Deep Neural Networks

arXiv Jan 17, 2026
Terahertz (THz) systems inherently introduce frequency-dependent degradation effects, resulting in low-frequency blurring and high-frequency noise in amplitude images. Conventional image processing techniques cannot simultaneously address both issues... read more 
Computer Vision and Pattern Recognition

Enhanced Diagnostic Performance via Large-Resolution Inference Optimization for Pathology Foundation Models

arXiv Jan 17, 2026
Despite their prominent performance on tasks such as ROI classification and segmentation, many pathology foundation models remain constrained by a specific input size e.g. 224 x 224, creating substantial inefficiencies when applied to whole-slide ima... read more 
Computer Vision and Pattern Recognition cs.AI

Inverse Rendering for High-Genus 3D Surface Meshes from Multi-view Images with Persistent Homology Priors

arXiv Jan 17, 2026
Reconstructing 3D objects from images is inherently an ill-posed problem due to ambiguities in geometry, appearance, and topology. This paper introduces collaborative inverse rendering with persistent homology priors, a novel strategy that leverages ... read more 
Computer Vision and Pattern Recognition

Biological Intuition on Digital Hardware: An RTL Implementation of Poisson-Encoded SNNs for Static Image Classification

arXiv Jan 17, 2026
The deployment of Artificial Intelligence on edge devices (TinyML) is often constrained by the high power consumption and latency associated with traditional Artificial Neural Networks (ANNs) and their reliance on intensive Matrix-Multiply (MAC) oper... read more 
Hardware Architecture
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