Jun 28, 2022 · We introduce a simple yet effective guidance scheme as a loss function that leverages the consistency of stain translation with stain isolation.

May 9, 2022 · Abstract: Unsupervised and unpaired domain translation using generative adversarial neural networks, and more precisely CycleGAN, ...

This work proposes an alternative approach to the set of methods which, relying on segmentation consistency, enable the preservation of pathology structures ...

Conclusions: This research indicates that a translation from an arbitrary source stain to other stains can be performed effectively within the proposed ...

Focusing on immunohistochemistry (IHC) and multiplexed immunofluorescence (mIF), we introduce a simple yet effective guidance scheme as a loss function that ...

Focusing on immunohistochemistry (IHC) and multiplexed immunofluorescence (mIF), we introduce a simple yet effective guidance scheme as a loss function that ...

Focusing on immunohistochemistry (IHC) and multiplexed immunofluorescence (mIF), we introduce a simple yet effective guidance scheme as a loss function that ...

Unsupervised and unpaired domain translation using generative adversarial neural networks, and more precisely CycleGAN, is state of the art for the stain ...

This research proposes a new method to improve the translation of histopathology images between two staining techniques, immunohistochemistry (IHC) and ...

Stain Isolation-based Guidance for Improved Stain Translation ... Unsupervised and unpaired domain translation using generative adversarial neural networks, and ...