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

Tariq Rahim; Arslan Musaddiq; Dong-Seong Kim

doi:10.1109/ICUFN49451.2021.9528627

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

Tariq Rahim
, Arslan Musaddiq
, Dong-Seong Kim

Research output: Contribution to conference › Paper › peer-review

Original language	English
DOIs	https://doi.org/10.1109/ICUFN49451.2021.9528627
Publication status	Published - 17 Aug 2021
Event	The 12th International Conference on Ubiquitous and Future Networks (ICUFN 2021) - Jeju, Korea (South) Duration: 17 Aug 2021 → 20 Aug 2021

Conference

Conference	The 12th International Conference on Ubiquitous and Future Networks (ICUFN 2021)
Period	17/08/21 → 20/08/21

Bibliographical note

Note: 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.

Organising Body: Korean Institute of Communications and Information Sciences (KICS),The Institute of Electrical and Electronics Engineers (IEEE)

Keywords

Computer science and informatics

Access to Document

10.1109/ICUFN49451.2021.9528627

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

1 Conference contribution

e-health and resource management scheme for a deep learning-based detection of tumor in wireless capsule endoscopy videos
Rahim, T., Musaddiq, A. & Kim, D. S., 17 Aug 2021, 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. Organising Body: Korean Institute of Communications and Information Sciences (KICS),The Institute of Electrical and Electronics Engineers (IEEE) Organising Body: Korean Institute of Communications and Information Sciences (KICS),The Institute of Electrical and Electronics Engineers (IEEE). p. 48-52
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Cite this

@conference{5ef599d1561f4dd0bc61dcb5df027134,

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

keywords = "Computer science and informatics",

author = "Tariq Rahim and Arslan Musaddiq and Dong-Seong Kim",

note = "Note: 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. Organising Body: Korean Institute of Communications and Information Sciences (KICS),The Institute of Electrical and Electronics Engineers (IEEE); The 12th International Conference on Ubiquitous and Future Networks (ICUFN 2021) ; Conference date: 17-08-2021 Through 20-08-2021",

year = "2021",

month = aug,

day = "17",

doi = "10.1109/ICUFN49451.2021.9528627",

language = "English",

}

TY - CONF

T1 - e-health and resource management scheme for a deep learning-based detection of tumor in wireless capsule endoscopy videos

AU - Rahim, Tariq

AU - Musaddiq, Arslan

AU - Kim, Dong-Seong

N1 - Note: 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. Organising Body: Korean Institute of Communications and Information Sciences (KICS),The Institute of Electrical and Electronics Engineers (IEEE)

PY - 2021/8/17

Y1 - 2021/8/17

KW - Computer science and informatics

U2 - 10.1109/ICUFN49451.2021.9528627

DO - 10.1109/ICUFN49451.2021.9528627

M3 - Paper

T2 - The 12th International Conference on Ubiquitous and Future Networks (ICUFN 2021)

Y2 - 17 August 2021 through 20 August 2021

ER -