Latest AI and machine learning research in universal precautions for healthcare professionals.
In medical imaging, precise annotation of lesions or organs is often required. However, 3D volumetric images typically consist of hundreds or thousands of slices, making the annotation process extremely time-consuming and laborious. Recently, the Segment Anything Model (SAM) has drawn widespread attention due to its remarkable zero-shot generalization capabilities in interactive segmentation. Wh...
Flare, an optical phenomenon resulting from unwanted scattering and reflections within a lens system, presents a significant challenge in imaging. The diverse patterns of flares, such as halos, streaks, color bleeding, and haze, complicate the flare removal process. Existing traditional and learning-based methods have exhibited limited efficacy due to their reliance on single-image approaches, w...
In generative models, two paradigms have gained attraction in various applications: next-set prediction-based Masked Generative Models and next-nois...
Helicobacter pylori (H. pylori) is the most common carcinogenic pathogen worldwide. Infecting roughly 1 in 2 individuals globally, it is the leading...
The Segment Anything Model (SAM), originally built on a 2D Vision Transformer (ViT), excels at capturing global patterns in 2D natural images but st...
Recent open-vocabulary segmentation methods adopt mask generators to predict segmentation masks and leverage pre-trained vision-language models, e.g...
Computational multi-scale pandemic modelling remains a major and timely challenge. Here we identify specific requirements for a new class of pandemi...
Training medical image segmentation models for rare yet clinically significant imaging modalities is challenging due to the scarcity of annotated da...
Video Virtual Try-on aims to seamlessly transfer a reference garment onto a target person in a video while preserving both visual fidelity and tempo...
Image quality degradation caused by raindrops is one of the most important but challenging problems that reduce the performance of vision systems. M...
In clinical practice of echocardiography examinations, multiple planes containing the heart structures of different view are usually required in scr...
Despite remarkable progress in image generation models, generating realistic hands remains a persistent challenge due to their complex articulation,...
Text-to-image generation models have revolutionized content creation, but diffusion-based vision-language models still face challenges in precisely ...
Recently, diffusion models have exhibited superior performance in the area of image inpainting. Inpainting methods based on diffusion models can usu...
Celiac disease is an autoimmune disorder triggered by the consumption of gluten. It causes damage to the villi, the finger-like projections in the s...
With an increasing focus on precision medicine in medical research, numerous studies have been conducted in recent years to clarify the relationship b...
Removing adverse weather conditions such as rain, raindrop, and snow from images is critical for various real-world applications, including autonomo...
There is growing excitement about the clinical use of artificial intelligence and machine learning (ML) technologies. Advancements in computing and th...
The goal of this study is to develop a computational model of the progression of changes in mitochondrial phenotype resulting from infection with pa...
The future of the agriculture industry is intertwined with automation. Accurate fruit detection, yield estimation, and harvest time estimation are c...