Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
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...
Boosting is a family of supervised learning algorithm that convert a set of weak learners into a sin...
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...
Liver and hepatic tumor segmentation remains a challenging problem in Computer Tomography (CT) image...
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...
In this paper, a new approach is proposed for localization and segmentation of the optic disc in hum...
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...
The Hausdorff Distance (HD) is widely used in evaluating medical image segmentation methods. However...
To maintain the serviceability of buildings, the owners need to be informed about the current condit...
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...