Normalization of HE-stained histological images using cycle consistent generative adversarial networks
Abstract Background Histological images show strong variance (e.g. illumination, color, staining quality) due to differences in image acquisition, tissue processing, staining, etc. This can impede downstream image analysis such as staining intensity evaluation or classification. Methods to reduce th...
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| Main Authors: | , , , , , |
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| Format: | Book |
| Published: |
BMC,
2021-08-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |