Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
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...
 While an explosion in technological sophistication has revolutionized surgery within the operating ...
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...
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...