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pro vyhledávání: '"Stone, Rebecca"'
Autor:
Stone, Rebecca S., Chavarrias-Solano, Pedro E., Bulpitt, Andrew J., Hogg, David C., Ali, Sharib
While several previous studies have devised methods for segmentation of polyps, most of these methods are not rigorously assessed on multi-center datasets. Variability due to appearance of polyps from one center to another, difference in endoscopic i
Externí odkaz:
http://arxiv.org/abs/2309.06807
The fairness of a deep neural network is strongly affected by dataset bias and spurious correlations, both of which are usually present in modern feature-rich and complex visual datasets. Due to the difficulty and variability of the task, no single d
Externí odkaz:
http://arxiv.org/abs/2303.16564
Deep neural networks are highly susceptible to learning biases in visual data. While various methods have been proposed to mitigate such bias, the majority require explicit knowledge of the biases present in the training data in order to mitigate. We
Externí odkaz:
http://arxiv.org/abs/2204.09389
Publikováno v:
In Appetite 1 July 2024 198
Autor:
Osae, Sharmon P., Palmer, Russ, Harvey, Ashlee, Keedy, Chelsea A., Lavender, Devin L., Phillips, Beth Bryles, Johnson, Blake R., Young, Henry N., Stone, Rebecca H.
Publikováno v:
In Journal of the American Pharmacists Association May-June 2024 64(3)
Autor:
Stone, Rebecca A., Brown, Adrian, Douglas, Flora, Green, Mark A., Hunter, Emma, Lonnie, Marta, Johnstone, Alexandra M., Hardman, Charlotte A.
Publikováno v:
In Appetite 1 May 2024 196
Publikováno v:
In Journal of the American Pharmacists Association March-April 2024 64(2):524-529
Autor:
Istl, Alexandra C., Desravines, Nerlyne, Nudotor, Richard, Stone, Rebecca, Greer, Jonathan B., Meyer, Christian F., Johnston, Fabian M.
Publikováno v:
In Gynecologic Oncology Reports February 2024 51