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Histopathological domain adaptation with generative adversarial networks: Bridging the domain gap between thyroid cancer histopathology datasets.

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Title: Histopathological domain adaptation with generative adversarial networks: Bridging the domain gap between thyroid cancer histopathology datasets.
Authors: Dee, William1 (AUTHOR) w.t.dee@qmul.ac.uk, Alaaeldin Ibrahim, Rana2,3 (AUTHOR), Marouli, Eirini1,4 (AUTHOR) e.marouli@qmul.ac.uk
Source: PLoS ONE. 12/26/2024, Vol. 19 Issue 12, p1-19. 19p.
Database: Academic Search Ultimate
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  Data: Histopathological domain adaptation with generative adversarial networks: Bridging the domain gap between thyroid cancer histopathology datasets.
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  Data: <searchLink fieldCode="AR" term="%22Dee%2C+William%22">Dee, William</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> w.t.dee@qmul.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Alaaeldin+Ibrahim%2C+Rana%22">Alaaeldin Ibrahim, Rana</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Marouli%2C+Eirini%22">Marouli, Eirini</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<i> e.marouli@qmul.ac.uk</i>
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 12/26/2024, Vol. 19 Issue 12, p1-19. 19p.
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        Value: 10.1371/journal.pone.0310417
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        Text: English
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      – TitleFull: Histopathological domain adaptation with generative adversarial networks: Bridging the domain gap between thyroid cancer histopathology datasets.
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              Text: 12/26/2024
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