Artificial Intelligence Medical Compendium

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

Showing 44,961 to 44,970 of 224,055 articles

Field imaging framework for morphological characterization of aggregates with computer vision: Algorithms and applications

arXiv
Construction aggregates, including sand and gravel, crushed stone and riprap, are the core building blocks of the construction industry. State-of-the-practice characterization methods mainly relies on visual inspection and manual measurement. State-o... read more 

InEdit-Bench: Benchmarking Intermediate Logical Pathways for Intelligent Image Editing Models

arXiv
Multimodal generative models have made significant strides in image editing, demonstrating impressive performance on a variety of static tasks. However, their proficiency typically does not extend to complex scenarios requiring dynamic reasoning, lea... read more 

Machine Pareidolia: Protecting Facial Image with Emotional Editing

arXiv
The proliferation of facial recognition (FR) systems has raised privacy concerns in the digital realm, as malicious uses of FR models pose a significant threat. Traditional countermeasures, such as makeup style transfer, have suffered from low transf... read more 

EvoPrune: Early-Stage Visual Token Pruning for Efficient MLLMs

arXiv
Multimodal Large Language Models (MLLMs) have shown strong performance in vision-language tasks, but their inference efficiency is severely limited by the exponential growth of visual tokens in complex scenarios such as high-resolution images and vid... read more 

Polyp Segmentation Using Wavelet-Based Cross-Band Integration for Enhanced Boundary Representation

arXiv
Accurate polyp segmentation is essential for early colorectal cancer detection, yet achieving reliable boundary localization remains challenging due to low mucosal contrast, uneven illumination, and color similarity between polyps and surrounding tis... read more 

Generalization Properties of Score-matching Diffusion Models for Intrinsically Low-dimensional Data

arXiv
Despite the remarkable empirical success of score-based diffusion models, their statistical guarantees remain underdeveloped. Existing analyses often provide pessimistic convergence rates that do not reflect the intrinsic low-dimensional structure co... read more 

MPFlow: Multi-modal Posterior-Guided Flow Matching for Zero-Shot MRI Reconstruction

arXiv
Zero-shot MRI reconstruction relies on generative priors, but single-modality unconditional priors produce hallucinations under severe ill-posedness. In many clinical workflows, complementary MRI acquisitions (e.g. high-quality structural scans) are ... read more 

LDP-Slicing: Local Differential Privacy for Images via Randomized Bit-Plane Slicing

arXiv
Local Differential Privacy (LDP) is the gold standard trust model for privacy-preserving machine learning by guaranteeing privacy at the data source. However, its application to image data has long been considered impractical due to the high dimensio... read more 

Order Is Not Layout: Order-to-Space Bias in Image Generation

arXiv
We study a systematic bias in modern image generation models: the mention order of entities in text spuriously determines spatial layout and entity--role binding. We term this phenomenon Order-to-Space Bias (OTS) and show that it arises in both text-... read more 

Glass Segmentation with Fusion of Learned and General Visual Features

arXiv
Glass surface segmentation from RGB images is a challenging task, since glass as a transparent material distinctly lacks visual characteristics. However, glass segmentation is critical for scene understanding and robotics, as transparent glass surfac... read more