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Deep Unsupervised Learning for Biomedical Image Translation from Harmonic Generation Microscopy Image to HE-stained Image
Conference paper

Deep Unsupervised Learning for Biomedical Image Translation from Harmonic Generation Microscopy Image to HE-stained Image

Wei-Ju Chen, En-Yu Liao, Tsung-Ming Tai, Yi-Hua Liao, Chi-Kuang Sun, Cheng-Kuang Lee, Simon See and Hung-Wen Chen
CLEO: Applications and Technology, CLEO:A and T 2023
2023
DOI: https://doi.org/10.1364/CLEO_AT.2023.ATu3Q.6
Appears in  keyword about Physics

Abstract

Deep learning Harmonic generation microscopy (HGM) HE staining Image translation Computer Science (all) Electronic Optical and Magnetic Materials Atomic and Molecular Physics and Optics Space and Planetary Science Control and Systems Engineering Electrical and Electronic Engineering Instrumentation
This work proposes an unsupervised deep learning-based image translation from Harmonic generation microscopy (HGM) to widely used HE-stained images. The proposed methodology is promising and hopefully will facilitate adopting HGM in clinical workflows.

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