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Deepfake histological images for enhancing digital pathology. (arXiv:2206.08308v1 [eess.IV])
June 17, 2022, 1:20 a.m. | Kianoush Falahkheirkhah, Saumya Tiwari, Kevin Yeh, Sounak Gupta, Loren Herrera-Hernandez, Michael R. McCarthy, Rafael E. Jimenez, John C. Cheville, Ro
cs.CR updates on arXiv.org arxiv.org
An optical microscopic examination of thinly cut stained tissue on glass
slides prepared from a FFPE tissue blocks is the gold standard for tissue
diagnostics. In addition, the diagnostic abilities and expertise of any
pathologist is dependent on their direct experience with common as well as
rarer variant morphologies. Recently, deep learning approaches have been used
to successfully show a high level of accuracy for such tasks. However,
obtaining expert-level annotated images is an expensive and time-consuming task
and artificially …
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