Latest AI and machine learning research in covid-19 for healthcare professionals.
Edge detection is crucial in image processing, but existing methods often produce overly detailed ...
In this paper, an occlusion-capable holographic augmented-reality (AR) display is proposed, and it...
Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), remains a major global health threat,...
Vision sensors are becoming more important in Intelligent Transportation Systems (ITS) for traffic...
Automatic anonymization techniques are essential for ethical sharing of pathological speech data, ...
Purpose To develop and evaluate a novel deep learning-based approach for registering presurgical MR ...
Purpose To develop and validate a deep multitask network, MultiRecNet, for fully automatic predictio...
Antibody-antigen interactions (AAIs) are a pervasive phenomenon in the natural and are instrumental ...
Solitary fibrous tumor (SFT), formerly known as hemangiopericytoma, is an uncommon brain tumor often...
Purpose To build a deep learning framework using contrast-enhanced MRI for lesion segmentation and a...
This review examines diagnostic methods for prostate cancer, focusing on the role of digital rectal ...
The recent Segment Anything Model 2 (SAM2) has demonstrated exceptional capabilities in interactiv...
The development of powerful user representations is a key factor in the success of recommender sys...
Contemporary diffusion models built upon U-Net or Diffusion Transformer (DiT) architectures have r...
Unsupervised novelty detection (UND), aimed at identifying novel samples, is essential in fields l...
Medical image segmentation is a crucial and time-consuming task in clinical care, where mask preci...
The perfect alignment of 3D echocardiographic images captured from various angles has improved ima...
Human image animation aims to generate human videos of given characters and backgrounds that adher...
Face registration deforms a template mesh to closely fit a 3D face scan, the quality of which comm...
Industrial Anomaly Detection (IAD) is critical for ensuring product quality by identifying defects...
The rapid evolution of malware variants requires robust classification methods to enhance cybersec...