Latest AI and machine learning research in work force for healthcare professionals.
The limited sample size and insufficient diversity of lung nodule CT datasets severely restrict the ...
Imitation learning has achieved remarkable success in robotic manipulation, yet its application to s...
Accurate segmentation annotations are critical for disease monitoring, yet manual labeling remains a...
Fetal ultrasound (US) data is often limited due to privacy and regulatory restrictions, posing chall...
The growing demand for diverse and high-quality facial datasets for training and testing biometric s...
Annotating medical data for training AI models is often costly and limited due to the shortage of sp...
Background Beta diversity quantifies pairwise differences between two or more communities through ma...
Generative artificial intelligence (AI) is rapidly populating medical records with synthetic content...
Object detection in sonar images is a key technology in underwater detection systems. Compared to na...
Spatial understanding remains a key challenge in vision-language models. Yet it is still unclear whe...
Generative artificial intelligence (AI) is rapidly populating medical records with synthetic content...
There is an urgent need for triage and classification of high-volume medical imaging modalities such...
Reinforcement learning approaches for therapeutic peptide generation suffer from mode collapse, conv...
Vision-language pre-training (VLP) models are vulnerable to adversarial examples, particularly in bl...
Reinforcement learning (RL) has emerged as a powerful paradigm for fine-tuning large-scale generativ...
Recently, computer-aided diagnosis systems have been developed to support diagnosis, but their perfo...
Medical image segmentation remains a critical bottleneck in clinical workflows, from diagnostic radi...
Three-dimensional electron microscopy (3D EM) enables the quantitative analysis of cellular ultrastr...
Medical imaging datasets often suffer from class imbalance and limited availability of pathology-ric...
The shortage in early detection methods for the pathogen Burkholderia gladioli pv. cocovenenans (BGC...
Subject-consistent generation (SCG)-aiming to maintain a consistent subject identity across divers...