Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they ...
Department of Biomechanical Engineering, Faculty of Mechanical Engineering, Delft University of Technology (TU Delft), Delft, Netherlands Living biological tissue is a complex system, constantly ...
Abstract: Medical image segmentation (MIS) plays a vital role in different medical applications like analysis, treatment planning, and diagnosis. However, the segmentation accuracy was lower due to ...
A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...
MoGLo-Net tracks the motion of the ultrasound transducer using tissue speckle data without the need for external sensors, creating a clear 3D ultrasound volume for accurate visualization of bodily ...
1 Eye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin, China 2 School of Intelligent Science and Engineering, Harbin Engineering University, Harbin, China Background: As a ...
Abstract: One of the essential yet challenging tasks in medical diagnostics is the automatic production of well-informed reports from medical images. Radiology has traditionally been the specialty ...
1Department of Radiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. 2Guangdong Provincial Key Laboratory of ...
Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs) to process data through two or more layers, each of which can recognize complex features of ...