Artificial Intelligence Medical Compendium

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

Showing 501 to 510 of 213,137 articles

Privileged Lesion-Context Relational Distillation for Mask-Free Skin Lesion Classification

arXiv Jul 21, 2026
Accurate skin lesion classification can benefit from lesion segmentation masks, but requiring masks or an auxiliary segmentation model during inference reduces clinical practicality and increases computational complexity. This work introduces Privile... read more 
Computer Vision and Pattern Recognition

Image Editing Models are Numerical Solvers

arXiv Jul 21, 2026
We investigate whether a pretrained generative image-editing model can provide a common interface for numerical simulation. Physical inputs and solutions are rendered as images, while scalar quantities such as material properties, diffusivity, and lo... read more 
Computer Vision and Pattern Recognition

STS-NET: Spatio-Temporal Stress Network for Self-Supervised Crop Stress Detection using Satellite Image Time Series

arXiv Jul 21, 2026
Early and accurate detection of crop stress is essential to improve agricultural productivity and ensure global food security. However, collecting a large labeled crop stress dataset is a challenging task. To address this challenge, we introduce a no... read more 
Computer Vision and Pattern Recognition

UVFaceFusion: Fast Multi-view Topologically Consistent Face Reconstruction in the Wild via UV-space Neural Fusion

arXiv Jul 21, 2026
Reconstructing high-fidelity facial geometry with an assigned topology is essential for digital avatar creation and animation, yet existing automated methods often trade off geometric fidelity and in-the-wild generalization. We present UVFaceFusion, ... read more 
Computer Vision and Pattern Recognition cs.GR

In-Context Learning for Wound Classification with Small Multimodal Language Models

arXiv Jul 21, 2026
Wound image classification is often treated as a task-specific supervised learning problem, requiring substantial amounts of manually labelled data and retraining when the label space or deployment setting changes. This study evaluated whether small ... read more 
Computer Vision and Pattern Recognition

OPD-IAD: From Language Judgment to Industrial Anomaly Detection via On-Policy Self-Distillation

arXiv Jul 21, 2026
Large vision-language models (LVLMs) have recently shown strong potential for industrial anomaly detection (IAD) by providing image-level anomaly judgments and interpretable defect reasoning. However, current LVLM-based IAD methods still struggle to ... read more 
Computer Vision and Pattern Recognition cs.AI

Think Sparse, Predict Dense: Continuous Thought Machines for Image Super-Resolution

arXiv Jul 21, 2026
Continuous Thought Machines introduce an internal temporal dimension in which neuron-level histories and synchronization-derived representations evolve over a sequence of thought ticks. Extending this mechanism to dense visual prediction is non-trivi... read more 
Computer Vision and Pattern Recognition eess.IV

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches

arXiv Jul 21, 2026
Validating Explainable Artificial Intelligence (XAI) methods in medical imaging requires ground-truth data with known locations of informative features. However, current approaches rely on expert annotations, which are prone to labeling errors, or on... read more 
Computer Vision and Pattern Recognition cs.LG

KALE: Kernel Alignment with Loss Equilibration for Stable CLIP-DINOv2 Alignment at Web Scale

arXiv Jul 21, 2026
Kernel-based alignment of CLIP toward a vision centric teacher such as DINOv2 (KUEA) improves CLIP's visual representations while preserving text-encoder compatibility, using a fixed trade-off weight tuned on curated ImageNet-1K. We ask whether this ... read more 
Machine Learning

SynGallery: A Synthetic Gallery of Real Paintings for Instance-Level Artwork Recognition

arXiv Jul 21, 2026
Instance-level artwork recognition requires matching a handheld visitor photograph to a specific work in a large museum collection. This is challenging because painting datasets typically provide clean catalog images for training, while test queries ... read more 
Computer Vision and Pattern Recognition
Popular Topics
Recent Journals