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

Deep Unsupervised Learning for Biomedical Image Translation from Harmonic Generation Microscopy Image to H&E-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
2023 Conference on Lasers and Electro-Optics, CLEO 2023, ATu3Q.6
2023
Appears in  keyword about Physics

Abstract

Deep learning H&E staining Harmonic generation microscopy (HGM) Image translation Artificial Intelligence Computer Science Applications Electronic Optical and Magnetic Materials Instrumentation Atomic and Molecular Physics and Optics
This work proposes an unsupervised deep learning-based image translation from Harmonic generation microscopy (HGM) to widely used H&E-stained images. The proposed methodology is promising and hopefully will facilitate adopting HGM in clinical workflows.

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