Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386049655> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W4386049655 endingPage "72" @default.
- W4386049655 startingPage "60" @default.
- W4386049655 abstract "Medical image processing takes many steps to capture, process, and convert the images for further analysis. The images are susceptible to distortions due to various factors related to the analysis tools, environment, system-generated faults, and so on. Image enhancement deals with enhancing the quality and resolution of images for accurately analyzing the original information from the images. The primary motivating aspect of research and reconstruction of such high-quality images and their challenges is image super-resolution for image upgrading. This chapter focuses on various image-enhancing strategies in implementing the super-resolution process. In this work, the methodologies of various image-enhancing strategies are explained clearly to provide the parameter selection points, feature comparisons, and performance evaluations that apply to high-resolution image processing. The drawbacks and challenges of each strategy are discussed to investigate the effectiveness of the methodologies. Further research is explored to find hybrid methods on various deep learning architectures to achieve higher accuracy in the field of medical image super-resolution." @default.
- W4386049655 created "2023-08-23" @default.
- W4386049655 creator A5023984689 @default.
- W4386049655 creator A5027637792 @default.
- W4386049655 creator A5070841724 @default.
- W4386049655 date "2023-08-20" @default.
- W4386049655 modified "2023-09-23" @default.
- W4386049655 title "Exploration of Medical Image Super-Resolution in terms of Features and Adaptive Optimization" @default.
- W4386049655 cites W2032008853 @default.
- W4386049655 cites W2503339013 @default.
- W4386049655 cites W2598771421 @default.
- W4386049655 cites W2739815012 @default.
- W4386049655 cites W2747638294 @default.
- W4386049655 cites W2753246299 @default.
- W4386049655 cites W2792144524 @default.
- W4386049655 cites W2797925891 @default.
- W4386049655 cites W2884475142 @default.
- W4386049655 cites W2894234546 @default.
- W4386049655 cites W2901354392 @default.
- W4386049655 cites W2901773048 @default.
- W4386049655 cites W2902057329 @default.
- W4386049655 cites W2904483878 @default.
- W4386049655 cites W2905470861 @default.
- W4386049655 cites W2906473494 @default.
- W4386049655 cites W2909273709 @default.
- W4386049655 cites W2914540228 @default.
- W4386049655 cites W2917905493 @default.
- W4386049655 cites W2946526875 @default.
- W4386049655 cites W2977890283 @default.
- W4386049655 cites W3000249336 @default.
- W4386049655 cites W3010638262 @default.
- W4386049655 cites W3024454765 @default.
- W4386049655 cites W3048175892 @default.
- W4386049655 cites W3090453230 @default.
- W4386049655 cites W3096319150 @default.
- W4386049655 cites W54257720 @default.
- W4386049655 doi "https://doi.org/10.2174/9789815079210123010008" @default.
- W4386049655 hasPublicationYear "2023" @default.
- W4386049655 type Work @default.
- W4386049655 citedByCount "0" @default.
- W4386049655 crossrefType "book-chapter" @default.
- W4386049655 hasAuthorship W4386049655A5023984689 @default.
- W4386049655 hasAuthorship W4386049655A5027637792 @default.
- W4386049655 hasAuthorship W4386049655A5070841724 @default.
- W4386049655 hasConcept C111919701 @default.
- W4386049655 hasConcept C115961682 @default.
- W4386049655 hasConcept C126422989 @default.
- W4386049655 hasConcept C138268822 @default.
- W4386049655 hasConcept C138885662 @default.
- W4386049655 hasConcept C153180895 @default.
- W4386049655 hasConcept C154945302 @default.
- W4386049655 hasConcept C202444582 @default.
- W4386049655 hasConcept C205372480 @default.
- W4386049655 hasConcept C2776401178 @default.
- W4386049655 hasConcept C31972630 @default.
- W4386049655 hasConcept C33923547 @default.
- W4386049655 hasConcept C41008148 @default.
- W4386049655 hasConcept C41895202 @default.
- W4386049655 hasConcept C55020928 @default.
- W4386049655 hasConcept C9417928 @default.
- W4386049655 hasConcept C9652623 @default.
- W4386049655 hasConcept C98045186 @default.
- W4386049655 hasConceptScore W4386049655C111919701 @default.
- W4386049655 hasConceptScore W4386049655C115961682 @default.
- W4386049655 hasConceptScore W4386049655C126422989 @default.
- W4386049655 hasConceptScore W4386049655C138268822 @default.
- W4386049655 hasConceptScore W4386049655C138885662 @default.
- W4386049655 hasConceptScore W4386049655C153180895 @default.
- W4386049655 hasConceptScore W4386049655C154945302 @default.
- W4386049655 hasConceptScore W4386049655C202444582 @default.
- W4386049655 hasConceptScore W4386049655C205372480 @default.
- W4386049655 hasConceptScore W4386049655C2776401178 @default.
- W4386049655 hasConceptScore W4386049655C31972630 @default.
- W4386049655 hasConceptScore W4386049655C33923547 @default.
- W4386049655 hasConceptScore W4386049655C41008148 @default.
- W4386049655 hasConceptScore W4386049655C41895202 @default.
- W4386049655 hasConceptScore W4386049655C55020928 @default.
- W4386049655 hasConceptScore W4386049655C9417928 @default.
- W4386049655 hasConceptScore W4386049655C9652623 @default.
- W4386049655 hasConceptScore W4386049655C98045186 @default.
- W4386049655 hasLocation W43860496551 @default.
- W4386049655 hasOpenAccess W4386049655 @default.
- W4386049655 hasPrimaryLocation W43860496551 @default.
- W4386049655 hasRelatedWork W1504288058 @default.
- W4386049655 hasRelatedWork W2048505601 @default.
- W4386049655 hasRelatedWork W2167293474 @default.
- W4386049655 hasRelatedWork W2331674254 @default.
- W4386049655 hasRelatedWork W2376189803 @default.
- W4386049655 hasRelatedWork W2382607599 @default.
- W4386049655 hasRelatedWork W2885565509 @default.
- W4386049655 hasRelatedWork W2979079341 @default.
- W4386049655 hasRelatedWork W3042897387 @default.
- W4386049655 hasRelatedWork W4295539746 @default.
- W4386049655 isParatext "false" @default.
- W4386049655 isRetracted "false" @default.
- W4386049655 workType "book-chapter" @default.