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Akademický článek

Analyzing Data Modalities for Cattle Weight Estimation Using Deep Learning Models

Autor: Hina Afridi, Mohib Ullah, Øyvind Nordbø, Solvei Cottis Hoff, Siri Furre, Anne Guro Larsgard, Faouzi Alaya Cheikh

Publikováno v: Journal of Imaging, Vol 10, Iss 3, p 72 (2024)

We investigate the impact of different data modalities for cattle weight estimation. For this purpose, we collect and present our own cattle dataset representing the data modalities: RGB, depth, combined RGB and depth, segmentation, and combined segm

Externí odkaz: https://doaj.org/article/eb3e5fa36a404c82b922b8b17d6ec2ae

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Akademický článek

Reducing post-tonsillectomy haemorrhage: a multicentre quality improvement programme incorporating video-based cold technique instruction

Autor: Vegard Bugten, Siri Wennberg, Marit Furre Amundsen, Martin Andre Brevik Blindheimsvik

Publikováno v: BMJ Open Quality, Vol 11, Iss 4 (2022)

Objective Data from the Norwegian Tonsil Surgery Register (NTSR) showed large differences between the hospitals in Norway in the readmission rate due to post-tonsillectomy haemorrhage (rrPTH; range, 0%–25%; national average, 8%). Because of these l

Externí odkaz: https://doaj.org/article/18f2c8f47dc841e896702daa620cae50

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