Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
BACKGROUND AND OBJECTIVE: Semi-supervised medical image segmentation is a class of machine learning ...
In the domain of medical image segmentation, while convolutional neural networks (CNNs) and Transfor...
This research investigates the application of fuzzy graph theory to address critical security challe...
Polyp segmentation is crucial in computer-aided diagnosis but remains challenging due to the complex...
Accurately segmenting and individualizing cells in scanning electron microscopy (SEM) images is a hi...
Modulation of the electronic d-band center, structural defects (line defects), and particle size of ...
The Hawkeye system was regarded as a successful and effective referee assistant in commercial applic...
Mild traumatic brain injury can result from shear shock wave formation in the brain in the event of ...
Numerical simulations of fluid dynamics in tube-like structures are important to biomedical research...
Segmentation of multiple targets of varying sizes within medical images is of significant importance...
Visually challenged persons include a significant part of the population, and they exist all over th...
Medical imaging plays a vital role as an auxiliary tool in clinical diagnosis and treatment, with se...
This study explores a low-cost sensor system for real-time algae bloom detection and water managemen...
Label scarcity, class imbalance and data uncertainty are three primary challenges that are commonly ...
Understanding the tensile mechanical properties of Al-Er alloys at the atomic scale is essential, an...
Segmentation of the breast region in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) ...
Pancreatic cancer is a lethal invasive tumor with one of the worst prognosis. Accurate and reliable ...
Deep learning-based medical image segmentation methods are generally divided into convolutional neur...
Computer-aided automatic brain tumor detection is crucial for timely diagnosis and treatment, especi...
BACKGROUND: Named entity recognition is a fundamental task in natural language processing. Recognizi...
Raman spectroscopy is a promising non-invasive technique not only for the rapid and accurate detecti...