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- research-articleJuly 2024
Secure and efficient content-based image retrieval using dominant local patterns and watermark encryption in cloud computing
Cluster Computing (KLU-CLUS), Volume 27, Issue 9Pages 11873–11889https://doi.org/10.1007/s10586-024-04635-9AbstractThe relevance of images in people's daily lives is growing, and content-based image retrieval (CBIR) has received a lot of attention in research. Images are much better at communicating information than text documents. This paper deals with ...
- research-articleJanuary 2024
Deep learning aided prostate cancer detection for early diagnosis & treatment using MR with TRUS images
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 46, Issue 2Pages 3395–3409https://doi.org/10.3233/JIFS-235744Although difficult, robust and reliable synchronization of multimodal medical pictures has several practical uses. For instance, in MR-TRUS fusing guided prostate treatments, picture registration between the two modalities is essential. However, due to ...
- research-articleSeptember 2023
Soft Computing Techniques for Detecting Cyberbullying in Social Multimedia Data
- Yang Jing,
- Ma Haowei,
- Arshiya S. Ansari,
- G. Sucharitha,
- Batyrkhan Omarov,
- Sandeep Kumar,
- Mohammad Sajid Mohammadi,
- Khaled A. Z. Alyamani
Journal of Data and Information Quality (JDIQ), Volume 15, Issue 3Article No.: 32, Pages 1–14https://doi.org/10.1145/3604617Cyberbullying is a form of abuse, manipulation, or humiliation directed against a single person via the Internet. CB makes use of nasty Internet comments and remarks. It occurs when someone publicly mocks, insults, slanders, criticizes, or mocks another ...
- research-articleMarch 2023
Medical image retrieval using a novel local relative directional edge pattern and Zernike moments
Multimedia Tools and Applications (MTAA), Volume 82, Issue 20Pages 31737–31757https://doi.org/10.1007/s11042-023-14720-7AbstractThe traditional annotation-based medical image retrieval faces a problem with competence and precision with the extensive medical image databases. Broad research has been undertaken on Medical image retrieval (MIR) using local, global features of ...
- research-articleJanuary 2020
Biomedical image retrieval by using local directional edge binary patterns and Zernike moments
Multimedia Tools and Applications (MTAA), Volume 79, Issue 3-4Pages 1847–1864https://doi.org/10.1007/s11042-019-08215-7AbstractThis paper presents an efficient approach with the reduced length of feature vector for biomedical image retrieval by using global and local features of an image. In order to extract the local features, a new algorithm, local directional edge ...
