Artificial Intelligence Medical Compendium

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

Showing 591 to 600 of 213,137 articles

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning

arXiv Jul 20, 2026
Contrastive learning is increasingly moving toward settings with three or more modalities instead of image-text pairs. Yet, extending models from pairwise to higher-order multimodal alignment can introduce optimization and representation challenges. ... read more 
Machine Learning cs.AI

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis

arXiv Jul 20, 2026
Background: Retinal fundus imaging is central to the early diagnosis of sight-threatening conditions including diabetic retinopathy, glaucoma, and retinal vein occlusion. Clinical utility of fundus images is routinely compromised by non-uniform illum... read more 
Image and Video Processing cs.CV cs.ET

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation

arXiv Jul 20, 2026
Test-time adaptation (TTA) aims to mitigate distribution shifts by adapting models with unlabeled target data at inference time. While TTA with vision-language models (VLMs) has shown promising results in classification, extending it to medical image... read more 
Computer Vision and Pattern Recognition

PC-Seg: Progressive Cross-View Consistency for 3D OCT Segmentation from Sparse 2D Annotations

arXiv Jul 20, 2026
Volumetric segmentation of optical coherence tomography (OCT) images is essential for diagnosing ocular diseases but requires labor-intensive voxel-wise annotations. While semi-supervised learning (SSL) can reduce annotation costs, most existing meth... read more 
Computer Vision and Pattern Recognition

PC-Seg: Progressive Cross-View Consistency for 3D OCT Segmentation from Sparse 2D Annotations

arXiv Jul 20, 2026
Volumetric segmentation of optical coherence tomography (OCT) images is essential for diagnosing ocular diseases but requires labor-intensive voxel-wise annotations. While semi-supervised learning (SSL) can reduce annotation costs, most existing meth... read more 
Computer Vision and Pattern Recognition

The energy landscape of DNA-binding proteins along the genome

arXiv Jul 20, 2026
Reconstructing the energy profile of DNA-binding proteins along the genome requires an algorithm that quantifies efficiently the binding free energy. We assembled a dataset of protein structures and DNA binding sites, together with their binding ener... read more 
Biomolecules

To Blend In, First Decouple: Rethinking Camouflage Image Generation via Context-Decoupled Representations

arXiv Jul 20, 2026
Camouflage image generation (CIG) focuses on generating visually concealed objects that seamlessly blend into their backgrounds. Existing methods typically follow either background-guided paradigms that adapt object appearance via style transfer, or ... read more 
Computer Vision and Pattern Recognition

BrainNext: A General-Purpose Self-Supervised Foundation Model for Brain MRI Analysis

arXiv Jul 20, 2026
Foundation models pretrained using self-supervised learning have transformed computer vision by learning transferable representations from large-scale unlabeled data. However, existing foundation models for neuroimaging remain limited by task-specifi... read more 
Computer Vision and Pattern Recognition cs.AI

Medical Imaging Fusing Vision Transformer: Laryngeal Cancer Screening with Explanation

arXiv Jul 20, 2026
Early and timely screening of laryngeal cancer is crucial for improving clinical outcomes. In recent years, NBI endoscopy has become a standard diagnostic tool for the detection of laryngeal lesions. However, its effective use requires well-trained c... read more 
Computer Vision and Pattern Recognition cs.AI

Toward Optimal Adenovirus Detection Using YOLO26

arXiv Jul 20, 2026
This study systematically benchmarks different data augmentation setups across YOLO26 model size variants to determine the most effective setup for adenovirus detection in TEM images. The benchmarked setups include NAS, GAS, GMAS and DAS, all evaluat... read more 
Computer Vision and Pattern Recognition
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