Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
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...
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, ...
This paper proposed a shot boundary detection approach using Genetic Algorithm and Fuzzy Logic. In t...
Robust and fast solutions for anatomical object detection and segmentation support the entire clinic...
Over the last 20 years, supervised injectable and inhalable heroin prescribing has been developed, t...
Following the unconventional gas revolution, the forecasting of natural gas prices has become increa...
This study aims to secure medical data by combining them into one file format using steganographic m...
OBJECTIVE: Previous work has shown that increasing the production of boundary lubricant, superficial...
Hedge detection is used to distinguish uncertain information from facts, which is of essential impor...
Support Vector Machines (SVMs) form a family of popular classifier algorithms originally developed t...
Patient-specific blood flow modeling combining imaging data and computational fluid dynamics can aid...
Preterm birth has been shown to induce an altered developmental trajectory of brain structure and fu...
Shape based active contours have emerged as a natural solution to overlap resolution. However, most ...
VLMs for medical image interpretation are typically evaluated on clean inputs, despite the progressi...
Boundary delineation of anatomical structures in prostate MRI is often compromised by regional ambig...