Latest AI and machine learning research in lymphoma for healthcare professionals.
Virtual population generation is an emerging field in data science with numerous applications in hea...
Attributed graph clustering aims to discover node groups by utilizing both graph structure and node ...
Computer-assisted algorithms have become a mainstay of biomedical applications to improve accuracy a...
Combining multimodal biomarkers could help in the early diagnosis of Alzheimer's disease (AD). We in...
Radical prostatectomy is the gold standard in patients that are surgical candidates with localized p...
Brain image analysis has advanced substantially in recent years with the proliferation of neuroimagi...
Integrating large single-cell gene expression, chromatin accessibility and DNA methylation datasets ...
OBJECTIVES: Attenuation correction (AC) is crucial for ensuring the quantitative accuracy of positro...
Prediction of long-term survival in patients with invasive intraductal papillary mucinous neoplasm (...
The present paper is dedicated to analyze non-hazardous kinetic behaviour and modelling of green syn...
BACKGROUND: Differential diagnosis of primary central nervous system lymphoma (PCNSL) and glioblasto...
In recent years, the growth of cryptocurrency has undergone an enormous increase in cryptocurrency m...
This paper deals with estimation of interval controls for interval Linear Time Invariant (LTI) plant...
The aim of the study is to examine the effect of peritoneal re-approximation or non-approximation o...
Deep-learning methods for computational pathology require either manual annotation of gigapixel whol...
Advances in digital pathology have allowed a number of opportunities such as decision support using ...
PURPOSE: To develop a weakly supervised deep learning (WSDL) method that could utilize incomplete/mi...
Most biomedical datasets, including those of 'omics, population studies, and surveys, are rectangula...
Cerebral blood flow (CBF) can be measured with dynamic positron emission tomography (PET) of O-label...
PURPOSE: Novel actuarial deep learning neural network (ADNN) architectures are proposed for joint pr...
Early diagnosis of the coronavirus disease in 2019 (COVID-19) is essential for controlling this pand...