Latest AI and machine learning research in lymphoma for healthcare professionals.
The task of projecting onto norm balls is ubiquitous in statistics and machine learning, yet the av...
Anaplastic lymphoma kinase (ALK) and ROS oncogene 1 (ROS1) gene fusions are well-established key pla...
The Hopfield Neural Network has been successfully applied to solve ill-posed inverse problems in dif...
Machine learning (ML) has been widely used worldwide to develop crop yield forecasting models. Howev...
Due to high recurrence rates in patients with non-small cell lung cancer (NSCLC), medical profession...
This research aimed to evaluate the therapeutic effect of edaravone on lower limb ischemia-reperfusi...
Eating repeatedly used hotpot oil will cause serious harm to human health. In order to realize rapid...
OBJECTIVES: The prediction of primary treatment failure (PTF) is necessary for patients with diffuse...
Several industrial pick-and-place applications, such as collaborative assembly lines, rely on visual...
BACKGROUND: Danshao Shugan Granules (DSSG), a traditional Chinese medicine (TCM), is given to protec...
Concepts from data science, machine learning, deep learning and artificial neural networks are sprea...
Textile fibre is very common in daily life, and its classification and identification play an import...
PURPOSE: To investigate whether the iodine density of liver parenchyma in the equilibrium phase and ...
Non-intrusive load monitoring (NILM) is the task of disaggregating the total power consumption into ...
The light field (LF) reconstruction is mainly confronted with two challenges, large disparity and th...
Ultrasound sound-speed tomography (USST) is a promising technology for breast imaging and breast can...
Adiposity accumulation in the liver is an early-stage indicator of non-alcoholic fatty liver disease...
Intrusion detection in wireless and, more specifically, Wi-Fi networks is lately increasingly under ...
BACKGROUND: Pneumonia is an infection of the lungs that is characterized by high morbidity and morta...
Artificial intelligence (AI) algorithms evaluating [supine] chest radiographs ([S]CXRs) have remarka...
The success of the current wave of artificial intelligence can be partly attributed to deep neural n...