Abstract The segmentation of retinal vasculature from eye fundus images is a fundamental task in retinal image analysis.Over recent years, increasingly complex approaches based on sophisticated Convolutional Neural Network architectures have been pushing performance on well-established benchmark datasets.In this paper, we take a step back and analy
Visual quality inspection systems play an important role in many industrial applications.In this respect, surface defect detection is Transformer one of the problems that have received much attention by image processing scientists.Until now, different methods have been proposed based on texture analysis.An operation that provides discriminate featu
This paper explores the effect of online community interaction on value co-creation.The goal is to investigate internal factors influencing value co-creation through the SEM model and offer company managers effective management advice.This study investigates 485 customers in Xiaomi and Huawei online communities in China.An online questionnaire surv
The fault diagnosis method of planetary gearbox based on machine learning relies on the artificial selection of the eigenvectors.The quality of eigenvectors selection largely determines the accuracy of the diagnosis method.The convolutional neural network (CNN) can extract Computer Adaptor characteristics automatically.But it is difficult to accura
Many gastrointestinal simulation methods have been used to predict bioavailability, but the suitability of different methods for the same metal(loid)s varies widely, Nightdresses which inevitably affects the accuracy of human health risk assessment.Arsenic is a common and important contaminant in many contaminated land situations.It can be readily