Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Oda Olsen Nedrejord"'
Autor:
Pia H. Smedsrud, Vajira Thambawita, Steven A. Hicks, Henrik Gjestang, Oda Olsen Nedrejord, Espen Næss, Hanna Borgli, Debesh Jha, Tor Jan Derek Berstad, Sigrun L. Eskeland, Mathias Lux, Håvard Espeland, Andreas Petlund, Duc Tien Dang Nguyen, Enrique Garcia-Ceja, Dag Johansen, Peter T. Schmidt, Ervin Toth, Hugo L. Hammer, Thomas de Lange, Michael A. Riegler, Pål Halvorsen
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-10 (2021)
Measurement(s) Gastrointestinal Tract • gastrointestinal system disease Technology Type(s) Capsule Endoscope • visual assessment of in vivo video recording Sample Characteristic - Organism Homo sapiens Sample Characteristic - Environment alimenta
Externí odkaz:
https://doaj.org/article/a87ce99b976f44c5949b4d3cc76acbe4
Autor:
Hanna Borgli, Steven Alexander Hicks, Thomas de Lange, Håvard Espeland, Pål Halvorsen, Oda Olsen Nedrejord, Enrique Garcia-Ceja, Sigrun Losada Eskeland, Andreas Petlund, Debesh Jha, Dag Johansen, Pia H. Smedsrud, Henrik L. Gjestang, Ervin Toth, Duc Tien Dang Nguyen, Michael Riegler, Hugo Lewi Hammer, Espen Naess, Vajira Thambawita, Tor Jan Derek Berstad, Peter T. Schmidt, Mathias Lux
Publikováno v:
Scientific Data
Scientific Data, Vol 8, Iss 1, Pp 1-10 (2021)
Scientific Data, Vol 8, Iss 1, Pp 1-10 (2021)
Artificial intelligence (AI) is predicted to have profound effects on the future of video capsule endoscopy (VCE) technology. The potential lies in improving anomaly detection while reducing manual labour. Existing work demonstrates the promising ben
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67f7e0926d3907543b4540bc18d32de6
https://hdl.handle.net/10037/21497
https://hdl.handle.net/10037/21497
Autor:
Oda Olsen Nedrejord, Steven Alexander Hicks, Pål Halvorsen, Vajira Thambawita, Michael Riegler
Publikováno v:
ISM
Data is arguably the most important resource today as it fuels the algorithms powering services we use every day. However, in fields like medicine, publicly available datasets are few, and labeling medical datasets require tedious efforts from traine
Publikováno v:
IEEE International Symposium on Computer-Based Medical Systems
CBMS
CBMS
We report work in progress from interdisciplinary research on Assisted Living Technology in smart homes for older adults with mild cognitive impairments or dementia. We present our field trial, the set-up for collecting and storing data from real hom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff32db2caba07a4e93f0a36da1ac2d41
https://hdl.handle.net/10642/8405
https://hdl.handle.net/10642/8405