Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
 While an explosion in technological sophistication has revolutionized surgery within the operating ...
Automatic image segmentation and feature analysis can assist doctors in the treatment and diagnosis ...
The Hippocratic oath and the Belmont report articulate foundational principles for how physicians in...
Accurate and automatic organ segmentation from 3D radiological scans is an important yet challenging...
Supersonic shear-wave elastography (SWE) has emerged as a useful imaging modality for breast lesion ...
This paper proposes a novel Adaptive Region-based Edge Smoothing Model (ARESM) for automatic boundar...
Malignant melanoma is one of the most deadly forms of skin cancer, which is one of the world's faste...
In this paper, a novel imbalance learning method for binary classes is proposed, named as Post-Boost...
Vitreomacular adhesion (VMA) represents a prognostic biomarker in the management of exudative macula...
In this paper, synchronization of stochastic reaction-diffusion neural networks with Dirichlet bound...
Chronic wound is an abnormal disease condition of localized injury to the skin and its underlying ti...
This paper is concerned with synchronization for a class of reaction-diffusion neural networks with ...
Class imbalance ubiquitously exists in real life, which has attracted much interest from various dom...
In this paper, we present a novel error measure to compare a computer-generated segmentation of imag...
Architectural distortion (AD) is a common cause of false-negatives in mammograms. This lesion usuall...
BACKGROUND: Performing statistical tests is an important step in analyzing genome-wide datasets for ...
This article discusses existing catheter systems and proposes a conceptual design and procedure for ...
We consider a Markov chain that iteratively generates a sequence of random finite words in such a wa...
As a common disease in the elderly, neural foramina stenosis (NFS) brings a significantly negative i...
Automated pancreas segmentation in medical images is a prerequisite for many clinical applications, ...
Brain amyloid burden may be quantitatively assessed from positron emission tomography imaging using ...