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Article

Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks

2021-03-15

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>Histological images show huge variance (e.g. illumination, color, staining quality) due to differences in image acquisition, tissue processing, staining, etc. The variance can impede many image analyzes such as staining intensity evaluation or classification. Methods to reduce these variances are gathered under the term image normalization. <bold>Methods:</bold> W...

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Literature Corpus work
ae035cf1-e03c-5a93-b44b-99a97b016cb9
DOI
10.21203/rs.3.rs-290356/v1
Open publication

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Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial NetworksDOI 10.21203/rs.3.rs-290356/v1
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