Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
PURPOSE: Quantification of carotid plaques has been shown to be important for assessing as well as m...
In this paper, we propose a locally linear classifier based on boundary anchor points encoding (LLBA...
Dialogue-based simulation is a real-world practice technique for medical and clinical education that...
BACKGROUND AND OBJECTIVE: This work aims at extracting Adverse Drug Reactions (ADRs), i.e. a harm di...
Automatic prostate segmentation in transrectal ultrasound (TRUS) images is of essential importance f...
BACKGROUND: The Named Entity Recognition (NER) task as a key step in the extraction of health inform...
Artificial intelligence (AI) software that analyzes medical images is becoming increasingly prevalen...
Accurate segmentation of the prostate and organs at risk (e.g., bladder and rectum) in CT images is ...
Visual pattern detection and discrimination are essential first steps for scene analysis. Numerous h...
Cell nuclei detection is a challenging research topic because of limitations in cellular image quali...
OBJECTIVE: Recognizing what physicians know and do not know about a particular disease is one of the...
Deep networks provide a potentially rich interconnection between neuroscientific and artificial appr...
Meningioma is the one of the most common type of brain tumor, it as arises from the meninges and enc...
This paper describes a new image generation algorithm based on generative adversarial network. With ...
Deep neural networks (DNNs) trained in a supervised way suffer from two known problems. First, the m...
The automated segmentation of liver and tumor from CT images is of great importance in medical diagn...
Growth/no growth boundary models for Bacillus spores that accounted for the effects of environmental...
The measurement of Carotid Intima Media Thickness (IMT) on Common Carotid Artery (CCA) is a principl...
The level set based deformable models (LDM) are commonly used for medical image segmentation. Howeve...
In this paper, we present a novel approach for 3D dental model segmentation via deep Convolutional N...
Segmentation of liver in abdominal computed tomography (CT) is an important step for radiation thera...