Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
An efficient strategy for weakly-supervised segmentation is to impose constraints or regularization ...
Hepatic steatosis droplet quantification with histology biopsies has high clinical significance for ...
The aim of this study is to investigate the usefulness of the anomaly detection method by one-class ...
Studies of medical flow imaging have technical limitations for accurate analysis of blood flow dynam...
The reconsolidation and extinction of aversive memories and their boundary conditions have been exte...
In recent years, powered by state-of-the-art achievements in a broad range of areas, machine learnin...
Accurate and automatic segmentation of medical images is a crucial step for clinical diagnosis and a...
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...
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...
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...