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Image analysis for training a generative adversarial network
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Generative Adversarial Networks can be used in a way beneficial to biomolecular geometry, and figuring out important patterns through regenerative processes
gamer456148About Classify Nuclei: An Image Analysis Survey
Currently, we want to focus on the tagging of Nuclei images as well as its slicing, in order to allow us to figure out certain patterns computationally. These patterns will then be inputted into a GAN in order to create similar images and replications. We hope the results will help us look into developing tools in the field of biomolecular geometry.