Matches in SemOpenAlex for { <https://semopenalex.org/work/W4367011788> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W4367011788 endingPage "313" @default.
- W4367011788 startingPage "303" @default.
- W4367011788 abstract "At present, data hiding has moved from a traditional approach to deep learning models. Deep learning has the potential to strengthen the security and privacy of sensitive information in medical images. In this paper, a novel RIWT-based generative feedback residual CNN model has been designed for hiding and recovery of secret information. Feedback system helps to re-learn and refine the deep features, while the residual system maintains the integrity and quality of the cover image. The model is trained simultaneously both on data hiding and recovery network with a learning rate of 0.001 and epoch of 1200. The model demonstrates an average PSNR of 42.73 dB and SSIM value of 0.99 for the stego images. Also, in comparison with state-of-the-art learning schemes, the proposed model performs superior for stego images, while its limitations are seen for a recovered secret images." @default.
- W4367011788 created "2023-04-27" @default.
- W4367011788 creator A5011459847 @default.
- W4367011788 creator A5015235819 @default.
- W4367011788 creator A5017053472 @default.
- W4367011788 creator A5068763866 @default.
- W4367011788 creator A5076013545 @default.
- W4367011788 date "2023-01-01" @default.
- W4367011788 modified "2023-09-25" @default.
- W4367011788 title "RIWT Generative Feedback Residual Network for Secure Clinical Data Communication in Healthcare Unit" @default.
- W4367011788 cites W1996466252 @default.
- W4367011788 cites W1998279455 @default.
- W4367011788 cites W2020342650 @default.
- W4367011788 cites W2194775991 @default.
- W4367011788 cites W2797856256 @default.
- W4367011788 cites W2908542906 @default.
- W4367011788 cites W2919023666 @default.
- W4367011788 cites W2946695827 @default.
- W4367011788 cites W2963001579 @default.
- W4367011788 cites W3038135433 @default.
- W4367011788 cites W3082457501 @default.
- W4367011788 cites W3089622076 @default.
- W4367011788 cites W3102785203 @default.
- W4367011788 cites W2801875058 @default.
- W4367011788 doi "https://doi.org/10.1007/978-981-19-5191-6_25" @default.
- W4367011788 hasPublicationYear "2023" @default.
- W4367011788 type Work @default.
- W4367011788 citedByCount "0" @default.
- W4367011788 crossrefType "book-chapter" @default.
- W4367011788 hasAuthorship W4367011788A5011459847 @default.
- W4367011788 hasAuthorship W4367011788A5015235819 @default.
- W4367011788 hasAuthorship W4367011788A5017053472 @default.
- W4367011788 hasAuthorship W4367011788A5068763866 @default.
- W4367011788 hasAuthorship W4367011788A5076013545 @default.
- W4367011788 hasConcept C108583219 @default.
- W4367011788 hasConcept C108801101 @default.
- W4367011788 hasConcept C11413529 @default.
- W4367011788 hasConcept C115961682 @default.
- W4367011788 hasConcept C119857082 @default.
- W4367011788 hasConcept C124101348 @default.
- W4367011788 hasConcept C127413603 @default.
- W4367011788 hasConcept C154945302 @default.
- W4367011788 hasConcept C155512373 @default.
- W4367011788 hasConcept C2780428219 @default.
- W4367011788 hasConcept C3073032 @default.
- W4367011788 hasConcept C41008148 @default.
- W4367011788 hasConcept C78519656 @default.
- W4367011788 hasConceptScore W4367011788C108583219 @default.
- W4367011788 hasConceptScore W4367011788C108801101 @default.
- W4367011788 hasConceptScore W4367011788C11413529 @default.
- W4367011788 hasConceptScore W4367011788C115961682 @default.
- W4367011788 hasConceptScore W4367011788C119857082 @default.
- W4367011788 hasConceptScore W4367011788C124101348 @default.
- W4367011788 hasConceptScore W4367011788C127413603 @default.
- W4367011788 hasConceptScore W4367011788C154945302 @default.
- W4367011788 hasConceptScore W4367011788C155512373 @default.
- W4367011788 hasConceptScore W4367011788C2780428219 @default.
- W4367011788 hasConceptScore W4367011788C3073032 @default.
- W4367011788 hasConceptScore W4367011788C41008148 @default.
- W4367011788 hasConceptScore W4367011788C78519656 @default.
- W4367011788 hasLocation W43670117881 @default.
- W4367011788 hasOpenAccess W4367011788 @default.
- W4367011788 hasPrimaryLocation W43670117881 @default.
- W4367011788 hasRelatedWork W2152128527 @default.
- W4367011788 hasRelatedWork W2399431915 @default.
- W4367011788 hasRelatedWork W2548489734 @default.
- W4367011788 hasRelatedWork W2558537309 @default.
- W4367011788 hasRelatedWork W3023795464 @default.
- W4367011788 hasRelatedWork W3096767935 @default.
- W4367011788 hasRelatedWork W3111851281 @default.
- W4367011788 hasRelatedWork W4312866056 @default.
- W4367011788 hasRelatedWork W4321454888 @default.
- W4367011788 hasRelatedWork W2484982032 @default.
- W4367011788 isParatext "false" @default.
- W4367011788 isRetracted "false" @default.
- W4367011788 workType "book-chapter" @default.