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pro vyhledávání: '"Dy, Amanda"'
Autor:
Dy, Amanda, Nguyen, Ngoc-Nhu Jennifer, Mirjahanmardi, Seyed Hossein, Dawe, Melanie, Fyles, Anthony, Shi, Wei, Liu, Fei-Fei, Androutsos, Dimitrios, Done, Susan, Khademi, April
Deep learning systems have been proposed to improve the objectivity and efficiency of Ki- 67 PI scoring. The challenge is that while very accurate, deep learning techniques suffer from reduced performance when applied to out-of-domain data. This is a
Externí odkaz:
http://arxiv.org/abs/2307.03872
Autor:
Dy, Amanda1 (AUTHOR) amanda.dy@torontomu.ca, Nguyen, Ngoc-Nhu Jennifer2 (AUTHOR), Meyer, Julien3 (AUTHOR), Dawe, Melanie4 (AUTHOR), Shi, Wei4 (AUTHOR), Androutsos, Dimitri1 (AUTHOR), Fyles, Anthony4 (AUTHOR), Liu, Fei-Fei4 (AUTHOR), Done, Susan4 (AUTHOR), Khademi, April1,5,6,7,8 (AUTHOR)
Publikováno v:
Scientific Reports. 1/13/2024, Vol. 14 Issue 1, p1-12. 12p.
