Latest AI and machine learning research in lymphoma for healthcare professionals.
Numerous models have been developed to account for the complex properties of the random walks of bio...
Non-rigid registration between 3D surfaces is an important but notorious problem in medical imaging,...
Nowadays, morphology and molecular analyses at the single-cell level have a fundamental role in unde...
OBJECTIVES: The aim of this study was to assess midterm functional outcomes and complications of rob...
Diabetic retinopathy (DR) at risk of vision loss (referable DR) needs to be identified by retinal sc...
Artificial intelligence (AI)-generated clinical advice is becoming more prevalent in healthcare. How...
Breathing monitoring is an efficient way of human health sensing and predicting numerous diseases. V...
BACKGROUND: The epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) are a firs...
PURPOSE: We analyzed clinical features and the representative HE-stained pathologic images to predic...
Climate change has increased the severity and frequency of droughts over the last decades. To allevi...
Plant disease classification is quite complex and, in most cases, requires trained plant pathologist...
BACKGROUND: Accurate diagnosis of N2 lymph node status of the resectable stage I-II non-small cell l...
In social robotics, especially with regard to direct interactions between robots and humans, the rob...
Non-classical secreted proteins (NCSPs) refer to a group of proteins that are located in the extrace...
Post-prostatectomy urinary incontinence is one of the greatest concerns for both patients and urolog...
We evaluated the effectiveness of automated segmentation of the liver and its vessels with a convolu...
PURPOSE: This study determined whether image quality and detectability of ultralow-dose hepatic mult...
The need to overcome the challenges of visual inspections conducted by domain experts drives the rec...
Cross-species comparative analyses of single-cell RNA sequencing (scRNA-seq) data allow us to explor...
OBJECTIVE: To investigate performance of 1-mm, sharp kernel, low-dose chest computed tomography (LDC...
Single cell dispensing techniques mainly include limiting dilution, fluorescent-activated cell sorti...