Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
Optic disc (OD) and optic cup (OC) segmentation are important steps for automatic screening and diag...
The rising prevalence and global burden of diabetes fortify the need for more comprehensive and effe...
The medical and machine learning communities are relying on the promise of artificial intelligence (...
Over the past decade, there has been a groundswell of research interest in computer-based methods fo...
Segmenting gland instances in histology images is highly challenging as it requires not only detecti...
For asymptomatic patients suffering from carotid stenosis, the assessment of plaque morphology is an...
BACKGROUND: De-identification is a critical technology to facilitate the use of unstructured clinica...
Online training framework based on discriminative correlation filters for visual tracking has recent...
It remains challenging to automatically segment kidneys in clinical ultrasound (US) images due to th...
The learning problem from imbalanced data sets poses a major challenge in data mining community. Alt...
Detection and quantification of functional deficits due to moderate traumatic brain injury (mTBI) is...
Breast cancer care is a leading area for development of artificial intelligence (AI), with applicati...
Building automated cancer screening systems based on image analysis is currently a hot topic in comp...
Convolutional neural networks (CNNs) have recently led to significant advances in automatic segmenta...
Cell nuclei image segmentation technology can help researchers observe each cell's stress response t...
Automatic segmentation of prostate magnetic resonance (MR) images has great significance for the dia...
Accurate segmentation of the prostate from magnetic resonance (MR) images provides useful informatio...
This paper addresses the task of nuclei segmentation in high-resolution histopathology images. We pr...
This paper presents a method for automatic breast pectoral muscle segmentation in mediolateral obliq...
Artificial intelligence (AI)-based techniques have been widely applied in depression research and tr...
In this paper, we propose a locally linear classifier based on boundary anchor points encoding (LLBA...