Self adversarial attack as an augmentation method for immunohistochemical stainings

• URL: http://arxiv.org/abs/2103.11362v1
• Date: Sun, 21 Mar 2021 10:48:40 GMT
• Title: Self adversarial attack as an augmentation method for immunohistochemical stainings
• Authors: Jelica Vasiljevi\'c, Friedrich Feuerhake, C\'edric Wemmert, Thomas Lampert
• Abstract summary: We demonstrate that, when applied to histopathology data, this hidden noise appears to be related to stain specific features. By perturbing this hidden information, the translation models produce different, plausible outputs.
• Score: 0.7340845393655052
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: It has been shown that unpaired image-to-image translation methods constrained by cycle-consistency hide the information necessary for accurate input reconstruction as imperceptible noise. We demonstrate that, when applied to histopathology data, this hidden noise appears to be related to stain specific features and show that this is the case with two immunohistochemical stainings during translation to Periodic acid- Schiff (PAS), a histochemical staining method commonly applied in renal pathology. Moreover, by perturbing this hidden information, the translation models produce different, plausible outputs. We demonstrate that this property can be used as an augmentation method which, in a case of supervised glomeruli segmentation, leads to improved performance.

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