Zn vapour is easily generated on the surface by fusion welding galvanized steel sheet,resulting in the formation of defects.Rapidly developing computer vision sensing technology collects weld images in the welding pro...Zn vapour is easily generated on the surface by fusion welding galvanized steel sheet,resulting in the formation of defects.Rapidly developing computer vision sensing technology collects weld images in the welding process,then obtains laser fringe information through digital image processing,identifies welding defects,and finally realizes online control of weld defects.The performance of a convolutional neural network is related to its structure and the quality of the input image.The acquired original images are labeled with LabelMe,and repeated attempts are made to determine the appropriate filtering and edge detection image preprocessing methods.Two-stage convolutional neural networks with different structures are built on the Tensorflow deep learning framework,different thresholds of intersection over union are set,and deep learning methods are used to evaluate the collected original images and the preprocessed images separately.Compared with the test results,the comprehensive performance of the improved feature pyramid networks algorithm based on the basic network VGG16 is lower than that of the basic network Resnet101.Edge detection of the image will significantly improve the accuracy of the model.Adding blur will reduce the accuracy of the model slightly;however,the overall performance of the improved algorithm is still relatively good,which proves the stability of the algorithm.The self-developed software inspection system can be used for image preprocessing and defect recognition,which can be used to record the number and location of typical defects in continuous welds.展开更多
Objective:Integrated congenital heart disease(CHD)services were implemented in Beijing in 2022.This study analyzed prenatal diagnosis patterns and neonatal mortality data for duct-dependent CHDs before and after imple...Objective:Integrated congenital heart disease(CHD)services were implemented in Beijing in 2022.This study analyzed prenatal diagnosis patterns and neonatal mortality data for duct-dependent CHDs before and after implementation to provide insights for service optimization.Methods:We conducted a retrospective analysis of 487 cases of duct-dependent CHDs identified through the Beijing Birth Defects Monitoring System from January 2021 to December 2022.The study population included fetuses and infants from 13 weeks gestation to one year after birth.Cases underwent descriptive analysis focusing on disease occurrence,diagnostic timing,and mortality outcomes.Results:The prenatal diagnosis rate for ductdependent CHDs increased from 93.39%in 2021 to 93.91%in 2022,while delayed diagnosis rates decreased from 4.28%to 3.91%.Genetic diagnosis rates improved from 27.92%to 31.94%.Live birth rates following prenatal diagnosis increased substantially from 28.75%to 40.28%.Outcomes varied significantly by CHD subtypes,with complete transposition of the great arteries with intact ventricular septum achieving an 82.14%live birth rate,while hypoplastic left heart syndrome cases resulted in no live births.Notably,neonatal mortality decreased markedly from 7.23%to 3.03%.Conclusions:Beijing’s integrated service model for CHDs has effectively strengthened the connection between secondary and tertiary prevention strategies,reduced unnecessary pregnancy terminations,and improved neonatal survival outcomes.展开更多
基金the National Natural Science Foundation of China(No.12064027)。
文摘Zn vapour is easily generated on the surface by fusion welding galvanized steel sheet,resulting in the formation of defects.Rapidly developing computer vision sensing technology collects weld images in the welding process,then obtains laser fringe information through digital image processing,identifies welding defects,and finally realizes online control of weld defects.The performance of a convolutional neural network is related to its structure and the quality of the input image.The acquired original images are labeled with LabelMe,and repeated attempts are made to determine the appropriate filtering and edge detection image preprocessing methods.Two-stage convolutional neural networks with different structures are built on the Tensorflow deep learning framework,different thresholds of intersection over union are set,and deep learning methods are used to evaluate the collected original images and the preprocessed images separately.Compared with the test results,the comprehensive performance of the improved feature pyramid networks algorithm based on the basic network VGG16 is lower than that of the basic network Resnet101.Edge detection of the image will significantly improve the accuracy of the model.Adding blur will reduce the accuracy of the model slightly;however,the overall performance of the improved algorithm is still relatively good,which proves the stability of the algorithm.The self-developed software inspection system can be used for image preprocessing and defect recognition,which can be used to record the number and location of typical defects in continuous welds.
基金Supported by the National Key Research and Development Program of China(grant number 2018YFC1002304).
文摘Objective:Integrated congenital heart disease(CHD)services were implemented in Beijing in 2022.This study analyzed prenatal diagnosis patterns and neonatal mortality data for duct-dependent CHDs before and after implementation to provide insights for service optimization.Methods:We conducted a retrospective analysis of 487 cases of duct-dependent CHDs identified through the Beijing Birth Defects Monitoring System from January 2021 to December 2022.The study population included fetuses and infants from 13 weeks gestation to one year after birth.Cases underwent descriptive analysis focusing on disease occurrence,diagnostic timing,and mortality outcomes.Results:The prenatal diagnosis rate for ductdependent CHDs increased from 93.39%in 2021 to 93.91%in 2022,while delayed diagnosis rates decreased from 4.28%to 3.91%.Genetic diagnosis rates improved from 27.92%to 31.94%.Live birth rates following prenatal diagnosis increased substantially from 28.75%to 40.28%.Outcomes varied significantly by CHD subtypes,with complete transposition of the great arteries with intact ventricular septum achieving an 82.14%live birth rate,while hypoplastic left heart syndrome cases resulted in no live births.Notably,neonatal mortality decreased markedly from 7.23%to 3.03%.Conclusions:Beijing’s integrated service model for CHDs has effectively strengthened the connection between secondary and tertiary prevention strategies,reduced unnecessary pregnancy terminations,and improved neonatal survival outcomes.
