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Cross-Validation Convolution Neural Network-Based Algorithm for Automated Detection of Diabetic Retinopathy

Computer Systems Science & Engineering 2023年第5期45卷 1985-2000页

作者： S.Sudha A.Srinivasan T.Gayathri Devi Department of ECE SRCSASTRA Deemed UniversityKumbakonam612001TamilnaduIndia

The substantial vision loss due to Diabetic Retinopathy(DR)mainly damages the blood vessels of the *** feature changes in the blood vessels fail to exist any manifestation in the eye at its initial stage,if this problem doesn’t exhibit initially,that leads to permanent ***,this type of disorder can be only screened and identified through the processing of fundus *** different stages in DR are Micro aneurysms(Ma),Hemorrhages(HE),and Exudates,and the stages in lesion show the chance of *** the advancement of early detection of DR in the eye we have developed the CNN-based identification approach on the fundus blood lesion *** CNN-based automated detection of DR proposes the novel Graph cutter-built background and foreground superpixel segmentation technique and the foremost classification of fundus images feature was done through hybrid classifiers as K-Nearest Neighbor(KNN)classifier,Support Vector Machine(SVM)classifier,and Cascaded Rotation Forest(CRF)*** this classifier,the feature cross-validation made the classification more accurate and the comparison is made with the previous works of parameters such as specificity,sensitivity,and accuracy shows that the hybrid classifier attains excellent performance and achieves an overall accuracy of 98%.Among these Cascaded Rotation Forest(CRF)classifier has more accuracy than others.

关键词： CNN networking segmentation hybrid classifier data set crossvalidation fundus image

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Predicting microRNA-disease association based on microRNA structural and functional similarity network

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Frontiers of Electrical and Electronic Engineering in China 2019年第2期7卷 138-146页

作者： Tao Ding Jie Gao Shanshan Zhu Junhua Xu Min Wu School of Science Jiangnan UniversityWuxi 214122China School of Mathematics Statistics and Physics Newcastle UniversityNewcastle upon TyneNE1 7RUUK

Background:Increasing evidences indicate that microRNAs (miRNAs) are functionally related to the development and progression of various human *** disease-related miRNAs can be helpful in promoting disease biomarker detection for the treatment,diagnosis,and prevention of complex ***:To improve the prediction accuracy of miRNA-disease association and capture more potential diseaserelated miRNAs,we constructed a precise miRNA global similarity network (MSFSN) via calculating the miRNA similarity based on secondary structures,families,and ***:We tested the network on the classical algorithms:WBSMDA and RWRMDA through the method of leaveone- out ***,AUCs of 0.8212 and 0.9657 are obtained,***,the proposed MSFSN is applied to three cancers for breast neoplasms,hepatocellular carcinoma,and prostate ***,82%,76%,and 82% of the top 50 potential miRNAs for these diseases are respectively validated by the miRNA-disease associations database miR2Disease and ***:Therefore,MSFSN provides a novel miRNA similarity network combining precise function network with global structure network of miRNAs to predict the associations between miRNAs and diseases in various models.

关键词： miRNAs hairpin structure miRNA families functional similarity disease semantic leave-one-out crossvalidation

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EVALUATION OF THE GEOLOGICAL RELIABILITY OF SURFACE MINING DEPOSIT

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Journal of China University of Mining and Technology 1994年第1期4卷 32-42页

作者：韩金炎孙小彦彭世济 DepartmentofCoalGeology BeijingGraduateSchool

The optimal deeision theory and exploitation reliability of large scale mining area have been studied China since the late 1980’s. Researches have been earried out under the thought of mannature - machine system , and eneouraging results have been obtained. The reliability evaluation of mining engineering ineludes the rellability exaluation of natural resources, mining technology and mine economics ete. And the geological reliability of deposit, as a natural condition, is the basis of all other evaiuation works. The paper summarizes the method for evaluating the geological reliaoility of deposit, diseusces the reliability of estimating methods for coal reserves and coai quality, evaiuates the natural resourees rellability of the Pit 1 of Antaibao Surface Coai Mine, Pingsuo, Shanxi *** was taken as a case study.

关键词： deposit model reliability evaluation conditional simulation semi-variogram crossvalidation

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