Latest AI and machine learning research in lymphoma for healthcare professionals.
Cell Population Data (CPD) provides various blood cell parameters that can be used for differential ...
Non-negative matrix factorization (NMF) is a knowledge discovery method that is used in many fields....
This study was to assess the feasibility of using non-standardized single-lead electrocardiogram (EC...
Non-small cell lung cancer (NSCLC) is one of the most common lung cancers worldwide. Accurate progno...
. Given the burgeoning impacts of climatic variability on human health, suitable computational parad...
In longitudinal studies, outcomes are measured repeatedly over time and it is common that not all th...
In this work we examine some of the problems associated with the development of machine learning mod...
Action recognition algorithms are widely used in the fields of medical health and pedestrian dead re...
Deriving accurate structural maps for attenuation correction (AC) of whole-body positron emission to...
Researches on the microbiome have been actively conducted worldwide and the results have shown human...
Electro-stimulation or modulation of deep brain regions is commonly used in clinical procedures for ...
PURPOSE: To evaluate the effects of deep learning reconstruction (DLR) in qualitative and quantitati...
Due to its toxicity and persistence, pesticide pollution poses a serious threat to human health and ...
BACKGROUND AND OBJECTIVE: Head and facial mimic animations play important roles in various fields su...
BACKGROUND: The purpose of this study was to build radiogenomics models from texture signatures deri...
INTRODUCTION: The aim of the study was to extract anthropometric measures from CT by deep learning a...
BACKGROUND: In dialysis patients, non-adherence to oral cinacalcet adds complexity to the control of...
The goal of this study was to compare the predictive performance of artificial neural networks (ANNs...
PURPOSE: To rapidly reconstruct undersampled 3D non-Cartesian image-based navigators (iNAVs) using a...
Background Identifying the presence and extent of infarcted brain tissue at baseline plays a crucial...
Electromagnetic stimulation of the human brain is a key tool for neurophysiological characterization...