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Universal precautions

Latest AI and machine learning research in universal precautions for healthcare professionals.

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Showing 1555-1575 of 2,998 articles
LGD: Leveraging Generative Descriptions for Zero-Shot Referring Image Segmentation

Zero-shot referring image segmentation aims to locate and segment the target region based on a ref...

Mask Image Watermarking

We present MaskMark, a simple, efficient, and flexible framework for image watermarking. MaskMark ...

SmartFreeEdit: Mask-Free Spatial-Aware Image Editing with Complex Instruction Understanding

Recent advancements in image editing have utilized large-scale multimodal models to enable intuiti...

DC-SAM: In-Context Segment Anything in Images and Videos via Dual Consistency

Given a single labeled example, in-context segmentation aims to segment corresponding objects. Thi...

XY-Cut++: Advanced Layout Ordering via Hierarchical Mask Mechanism on a Novel Benchmark

Document Reading Order Recovery is a fundamental task in document image understanding, playing a p...

SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Remote sensing has become critical for understanding environmental dynamics, urban planning, and d...

Evolved Hierarchical Masking for Self-Supervised Learning

Existing Masked Image Modeling methods apply fixed mask patterns to guide the self-supervised trai...

Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization

Text-to-image (T2I) diffusion models have achieved remarkable success in generating high-quality i...

MARS: a Multimodal Alignment and Ranking System for Few-Shot Segmentation

Current Few Shot Segmentation literature lacks a mask selection method that goes beyond visual sim...

Virtual-mask Informed Prior for Sparse-view Dual-Energy CT Reconstruction

Sparse-view sampling in dual-energy computed tomography (DECT) significantly reduces radiation dos...

S-EO: A Large-Scale Dataset for Geometry-Aware Shadow Detection in Remote Sensing Applications

We introduce the S-EO dataset: a large-scale, high-resolution dataset, designed to advance geometr...

MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs

This paper presents MedSegFactory, a versatile medical synthesis framework that generates high-qua...

WoundAmbit: Bridging State-of-the-Art Semantic Segmentation and Real-World Wound Care

Chronic wounds affect a large population, particularly the elderly and diabetic patients, who ofte...

Modular Soft Wearable Glove for Real-Time Gesture Recognition and Dynamic 3D Shape Reconstruction

With the increasing demand for human-computer interaction (HCI), flexible wearable gloves have eme...

Transferable Mask Transformer: Cross-domain Semantic Segmentation with Region-adaptive Transferability Estimation

Recent advances in Vision Transformers (ViTs) have set new benchmarks in semantic segmentation. Ho...

URECA: Unique Region Caption Anything

Region-level captioning aims to generate natural language descriptions for specific image regions ...

IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR

Unsupervised anomaly detection and segmentation methods train a model to learn the training distri...

Bridging Knowledge Gap Between Image Inpainting and Large-Area Visible Watermark Removal

Visible watermark removal which involves watermark cleaning and background content restoration is ...

Noninvasive prediction of esophagogastric varices in hepatitis B: An extreme gradient boosting model based on ultrasound and serology.

BACKGROUND: Severe esophagogastric varices (EGVs) significantly affect prognosis of patients with he...

Apr 2025 40248058
Statistical Management of the False Discovery Rate in Medical Instance Segmentation Based on Conformal Risk Control

Instance segmentation plays a pivotal role in medical image analysis by enabling precise localizat...

UCS: A Universal Model for Curvilinear Structure Segmentation

Curvilinear structure segmentation (CSS) is vital in various domains, including medical imaging, l...

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