e-health and resource management scheme for a deep learning-based detection of tumor in wireless capsule endoscopy videos

Rahim, Tariq, Musaddiq, Arslan and Kim, Dong-Seong (2021) e-health and resource management scheme for a deep learning-based detection of tumor in wireless capsule endoscopy videos. In: The 12th International Conference on Ubiquitous and Future Networks (ICUFN 2021); 17-20 Aug 2021, Jeju, Korea (South).

Official URL: https://doi.org/10.1109/ICUFN49451.2021.9528627

Official URL:	https://doi.org/10.1109/ICUFN49451.2021.9528627
Item Type:	Conference or Workshop Item (Paper)
Event Title:	The 12th International Conference on Ubiquitous and Future Networks (ICUFN 2021)
Organising Body:	Korean Institute of Communications and Information Sciences (KICS),The Institute of Electrical and Electronics Engineers (IEEE)
Additional Information:	This research was financially supported by the MSIT (Ministry of Science, ICT), Korea, under the Grand Information Technology Research Center support program [grant number: IITP-2020- 2020-0-01612] supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation), and Priority Research Centers Program [grant number: 2018R1A6A1A03024003] through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology. Published in: Proceedings of 2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN), Piscataway, U.S. : Institute of Electrical and Electronics Engineers, pp. 48-52, ISSN: 2165-8536, ISBN: 9781728164762.
Research Area:	Research Areas > Computer science and informatics
Faculty, School or Research Centre:	Faculty of Science, Engineering and Computing Faculty of Science, Engineering and Computing > School of Computer Science and Mathematics
Date Deposited:	24 Jun 2024 12:26
Last Modified:	24 Jun 2024 12:35
DOI:	https://doi.org/10.1109/ICUFN49451.2021.9528627
URI:	https://eprints.kingston.ac.uk/id/eprint/54733

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