Using conditional Generative Adversarial Networks (GAN) to generate de novo synthetic cell nuclei for training machine learning-based image segmentation

Authors

Mehmet Coşacak

Published

November 15, 2022

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DOI

10.1101/2022.11.12.516283

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Using conditional Generative Adversarial Networks (GAN) to generate de novo synthetic cell nuclei for training machine learning-based image segmentation

Authors

Mehmet Coşacak

Published

November 15, 2022

Add a comment...

Supporters

Support the authors with ResearchCoin

Preprint Server

Topics

DOI

10.1101/2022.11.12.516283

License

CC-BY-NC-ND

Other Formats

PDF

Supporters

Support the authors with ResearchCoin

Preprint Server

Topics

DOI

10.1101/2022.11.12.516283

License

CC-BY-NC-ND

Other Formats

PDF

Paper

Paper

Paper

Paper

Using conditional Generative Adversarial Networks (GAN) to generate de novo synthetic cell nuclei for training machine learning-based image segmentation

Supporters

Preprint Server

Topics

DOI

License

Other Formats

Using conditional Generative Adversarial Networks (GAN) to generate de novo synthetic cell nuclei for training machine learning-based image segmentation

Supporters

Preprint Server

Topics

DOI

License

Other Formats

Supporters

Preprint Server

Topics

DOI

License

Other Formats