Deep learning has recently been extensively investigated to remove artifacts in low-dose computed tomography (LDCT).However, the power of transfer learning for medical image denoising tasks has not been The Last Knight fully explored.In this work, we proposed a transfer learning residual convolutional neural network (TLR-CNN) to restore LDCT images

Objective In practical breeding, selection is often performed by ignoring the accuracy of evaluations and applying economic weights directly to the selection index coefficients of genetically standardized traits.The denominator of the standardized component trait of estimated genetic evaluations in practical selection varies with its reliability.Wh

Statistics mainly concerned with data that may be qualitative or quantitative.Earlier we have used the notion of statistics in the classical sense where we Food Items assign values that are crisp.But in reality, we find some areas where the crisp concept is not sufficient to solve the problem.So, it seems difficult to assign a definite value for ea

This work is devoted to the investigation of biocidal properties of quaternary ammonium compounds (QACs) based on pyridine structures with aromatic spacers, and their widely known analogs, against clinically significant microorganisms.This study is focused on investigating their antimicrobial activity (minimum inhibitory concentrations (MICs) and m

It has been hypothesized that air pollution HI POTENCY B COMPOUND has played a role in the increase in allergy prevalence.However, it remains unclear what exact roles are played by polycyclic aromatic hydrocarbons (PAHs), which are encountered in the environment in the form of air pollution, in allergic rhinitis.Thus, we examined whether benzo(a)py