Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Konstantin Wüstefeld"'
Publikováno v:
Applied Sciences, Vol 13, Iss 22, p 12219 (2023)
There is a high demand for manually annotated data in many of the segmentation tasks based on neural networks. Selecting objects pixel by pixel not only takes much time, but it can also lead to inattentiveness and to inconsistencies due to changing a
Externí odkaz:
https://doaj.org/article/bea2a026b0fc4c8394d2d01b38244a7d
Autor:
Nour Sharar, Konstantin Wüstefeld, Rahat Morad Talukder, Julija Skolnik, Katharina Kaufmann, Bernd Giebel, Verena Börger, Friedrich Nolte, Carsten Watzl, Frank Weichert, Roland Hergenröder, Victoria Shpacovitch
Publikováno v:
Biosensors, Vol 13, Iss 4, p 472 (2023)
A wide-field surface plasmon resonance (SPR) microscopy sensor employs the surface plasmon resonance phenomenon to detect individual biological and non-biological nanoparticles. This sensor enables the detection, sizing, and quantification of biologi
Externí odkaz:
https://doaj.org/article/a2d08b2f763445959f455a6e06572a05
Publikováno v:
Journal of Imaging, Vol 7, Iss 10, p 206 (2021)
In the context of sensor-based data analysis, the compensation of image artifacts is a challenge. When the structures of interest are not clearly visible in an image, algorithms that can cope with artifacts are crucial for obtaining the desired infor
Externí odkaz:
https://doaj.org/article/4a3645b816d34b0ea2e33fb7f574e2ae
Publikováno v:
Applications ISBN: 9783110785982
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::751b9f492388143dd7654d20a5cd421d
https://doi.org/10.1515/9783110785982-010
https://doi.org/10.1515/9783110785982-010
