Artificial Intelligence Medical Compendium

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

Showing 31,511 to 31,520 of 220,544 articles

A Hybrid Architecture for Benign-Malignant Classification of Mammography ROIs

arXiv Apr 14, 2026
Accurate characterization of suspicious breast lesions in mammography is important for early diagnosis and treatment planning. While Convolutional Neural Networks (CNNs) are effective at extracting local visual patterns, they are less suited to model... read more 
Computer Vision and Pattern Recognition

IAD-Unify: A Region-Grounded Unified Model for Industrial Anomaly Segmentation, Understanding, and Generation

arXiv Apr 14, 2026
Real-world industrial inspection requires not only localizing defects, but also explaining them in natural language and generating controlled defect edits. However, existing approaches fail to jointly support all three capabilities within a unified f... read more 
Computer Vision and Pattern Recognition cs.AI

DiffusionPrint: Learning Generative Fingerprints for Diffusion-Based Inpainting Localization

arXiv Apr 14, 2026
Modern diffusion-based inpainting models pose significant challenges for image forgery localization (IFL), as their full regeneration pipelines reconstruct the entire image via a latent decoder, disrupting the camera-level noise patterns that existin... read more 
Computer Vision and Pattern Recognition

Scaling Exposes the Trigger: Input-Level Backdoor Detection in Text-to-Image Diffusion Models via Cross-Attention Scaling

arXiv Apr 14, 2026
Text-to-image (T2I) diffusion models have achieved remarkable success in image synthesis, but their reliance on large-scale data and open ecosystems introduces serious backdoor security risks. Existing defenses, particularly input-level methods, are ... read more 
Cryptography and Security cs.CV

Euler-inspired Decoupling Neural Operator for Efficient Pansharpening

arXiv Apr 14, 2026
Pansharpening aims to synthesize high-resolution multispectral (HR-MS) images by fusing the spatial textures of panchromatic (PAN) images with the spectral information of low-resolution multispectral (LR-MS) images. While recent deep learning paradig... read more 
Computer Vision and Pattern Recognition cs.AI

T2I-BiasBench: A Multi-Metric Framework for Auditing Demographic and Cultural Bias in Text-to-Image Models

arXiv Apr 14, 2026
Text-to-image (T2I) generative models achieve impressive visual fidelity but inherit and amplify demographic imbalances and cultural biases embedded in training data. We introduce T2I-BiasBench, a unified evaluation framework of thirteen complementar... read more 
Computer Vision and Pattern Recognition

Deepfakes at Face Value: Image and Authority

arXiv Apr 14, 2026
Deepfakes are synthetic media that superimpose or generate someone's likeness on to pre-existing sound, images, or videos using deep learning methods. Existing accounts of the wrongs involved in creating and distributing deepfakes focus on the harms ... read more 
Computers and Society cs.AI

NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Professional Image Quality Assessment (Track 1)

arXiv Apr 14, 2026
In this paper, we present an overview of the NTIRE 2026 challenge on the 3rd Restore Any Image Model in the Wild, specifically focusing on Track 1: Professional Image Quality Assessment. Conventional Image Quality Assessment (IQA) typically relies on... read more 
Computer Vision and Pattern Recognition cs.AI

CoD-Lite: Real-Time Diffusion-Based Generative Image Compression

arXiv Apr 14, 2026
Recent advanced diffusion methods typically derive strong generative priors by scaling diffusion transformers. However, scaling fails to generalize when adapted for real-time compression scenarios that demand lightweight models. In this paper, we exp... read more 
Computer Vision and Pattern Recognition

CoD-Lite: Real-Time Diffusion-Based Generative Image Compression

arXiv Apr 14, 2026
Recent advanced diffusion methods typically derive strong generative priors by scaling diffusion transformers. However, scaling fails to generalize when adapted for real-time compression scenarios that demand lightweight models. In this paper, we exp... read more 
Computer Vision and Pattern Recognition
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