Abstract
We present an interpretable neural network cancer diagnosis of unstained lung tissue sections measured by chemometric fluorescence microscope. It demonstrates high accuracy and identifies a novel pairwise chromophore interaction for diagnosis.
© 2021 The Author(s)
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