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Artificial intelligence for the real‐time classification of..:
Everson, M
;
Herrera, LCGP
;
Li, W
...
United European Gastroenterology Journal. 7 (2019) 2 - p. 297-306 , 2019
Link:
https://doi.org/10.1177/2050640618821800
RT Journal T1 <Title>Artificial intelligence for the real‐time classification of intrapapillary capillary loop patterns in the endoscopic diagnosis of early oesophageal squamous cell carcinoma: A proof‐of‐concept study</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1177_2050640618821800&Exemplar=1&LAN=DE A1 Everson, M A1 Herrera, LCGP A1 Li, W A1 Luengo, I Muntion A1 Ahmad, O A1 Banks, M A1 Magee, C A1 Alzoubaidi, D A1 Hsu, HM A1 Graham, D A1 Vercauteren, T A1 Lovat, L A1 Ourselin, S A1 Kashin, S A1 Wang, Hsiu-Po A1 Wang, Wen-Lun A1 Haidry, RJ PB Wiley YR 2019 SN 2050-6406 SN 2050-6414 JF United European Gastroenterology Journal VO 7 IS 2 SP 297 OP 306 LK http://dx.doi.org/https://doi.org/10.1177/2050640618821800 DO https://doi.org/10.1177/2050640618821800 SF ELIB - SuUB Bremen
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