Pub Date : 2023-10-26DOI: 10.1007/s11760-023-02828-0
Weijie Liang, Jianming Zhang, Yongzhao Zhan
{"title":"Weakly supervised video anomaly detection based on spatial–temporal feature fusion enhancement","authors":"Weijie Liang, Jianming Zhang, Yongzhao Zhan","doi":"10.1007/s11760-023-02828-0","DOIUrl":"https://doi.org/10.1007/s11760-023-02828-0","url":null,"abstract":"","PeriodicalId":54393,"journal":{"name":"Signal Image and Video Processing","volume":"155 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134909658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-26DOI: 10.1007/s11760-023-02702-z
C. H. Narsimha Reddy, Shanthi Mahesh, K. Manjunathachari
{"title":"Intelligent optimal feature selection-based hybrid variational autoencoder and block recurrent transformer network for accurate emotion recognition model using EEG signals","authors":"C. H. Narsimha Reddy, Shanthi Mahesh, K. Manjunathachari","doi":"10.1007/s11760-023-02702-z","DOIUrl":"https://doi.org/10.1007/s11760-023-02702-z","url":null,"abstract":"","PeriodicalId":54393,"journal":{"name":"Signal Image and Video Processing","volume":"33 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136376681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-26DOI: 10.1007/s11760-023-02760-3
B. Suresh Babu, M. Venkatanarayana
{"title":"AQWT: adaptive quaternion wavelet transform and hybrid heuristic improvement for multi-modal medical image fusion model","authors":"B. Suresh Babu, M. Venkatanarayana","doi":"10.1007/s11760-023-02760-3","DOIUrl":"https://doi.org/10.1007/s11760-023-02760-3","url":null,"abstract":"","PeriodicalId":54393,"journal":{"name":"Signal Image and Video Processing","volume":"45 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136381394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-26DOI: 10.1007/s11760-023-02790-x
Alessia Colonna, Fabio Scarpa
Abstract In vivo confocal microscopy is a technique that allows to acquire images of the corneal layers in a rapid and noninvasive way. Analysis of sub-basal nerve allows obtaining important clinical information regarding the eye and the human body’s health. To obtain that information, it is necessary to correctly identify and trace the nerve fibers. Manual analysis is time-consuming and subjective. Numerous automatic algorithms have been proposed to overcome these problems, but none have been included in clinical practice yet. In this work, we take advantage of deep learning techniques. We present an analysis of the performances obtained through UNet (baseline) to which various architectural solutions have been added to boost performance. The variation of the tracing results is also analyzed according to the use of different loss functions, one of which is introduced here: It considers a tolerance margin (Dice with tolerance). The investigated configurations have been shown to be capable of improving the tracing of corneal nerve fibers. The model with attention modules and atrous-spatial pyramid pooling modules showed the greatest improvement compared to the baseline, increasing in the evaluation score from 86.51 to 90.21%. Furthermore, the proposed loss function further increases the results (achieving 92.44%).
{"title":"Improving corneal nerve segmentation using tolerance Dice loss function","authors":"Alessia Colonna, Fabio Scarpa","doi":"10.1007/s11760-023-02790-x","DOIUrl":"https://doi.org/10.1007/s11760-023-02790-x","url":null,"abstract":"Abstract In vivo confocal microscopy is a technique that allows to acquire images of the corneal layers in a rapid and noninvasive way. Analysis of sub-basal nerve allows obtaining important clinical information regarding the eye and the human body’s health. To obtain that information, it is necessary to correctly identify and trace the nerve fibers. Manual analysis is time-consuming and subjective. Numerous automatic algorithms have been proposed to overcome these problems, but none have been included in clinical practice yet. In this work, we take advantage of deep learning techniques. We present an analysis of the performances obtained through UNet (baseline) to which various architectural solutions have been added to boost performance. The variation of the tracing results is also analyzed according to the use of different loss functions, one of which is introduced here: It considers a tolerance margin (Dice with tolerance). The investigated configurations have been shown to be capable of improving the tracing of corneal nerve fibers. The model with attention modules and atrous-spatial pyramid pooling modules showed the greatest improvement compared to the baseline, increasing in the evaluation score from 86.51 to 90.21%. Furthermore, the proposed loss function further increases the results (achieving 92.44%).","PeriodicalId":54393,"journal":{"name":"Signal Image and Video Processing","volume":"2 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136377165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-25DOI: 10.1007/s11760-023-02805-7
V. Diana Earshia, M. Sumathi
{"title":"A guided optimized recursive least square adaptive filtering based multi-variate dense fusion network model for image interpolation","authors":"V. Diana Earshia, M. Sumathi","doi":"10.1007/s11760-023-02805-7","DOIUrl":"https://doi.org/10.1007/s11760-023-02805-7","url":null,"abstract":"","PeriodicalId":54393,"journal":{"name":"Signal Image and Video Processing","volume":"185 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135218189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A fast selective encryption scheme for H.264/AVC video with syntax-preserving and zero bit rate expansion","authors":"Qingxin Sheng, Chong Fu, Zhaonan Lin, Jiayu Wen, Junxin Chen, Lin Cao, Chiu-Wing Sham","doi":"10.1007/s11760-023-02767-w","DOIUrl":"https://doi.org/10.1007/s11760-023-02767-w","url":null,"abstract":"","PeriodicalId":54393,"journal":{"name":"Signal Image and Video Processing","volume":"98 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135217120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：