Article

Cycle-consistent Generative Adversarial Network for computational hematoxylin-and-eosin staining of fluorescence confocal microscopic images of basal cell carcinoma tissue

2023-01-06

Abstract excerpt

<h4>Background: </h4> Histopathology based on Hematoxylin-and-Eosin (H&E) staining is the gold standard for basal cell carcinoma (BCC) diagnosis but requires lengthy and laborious tissue preparation. Fluorescence confocal microscopy (FCM) enables fluorescence detection and high-resolution imaging in less time and with minimal tissue preparation. This work proposes a deep learning model for the computational staini...

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Literature Corpus work: fd9eef7c-857c-5c87-a3ae-27078a7def3d
DOI: 10.21203/rs.3.rs-2398122/v1

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