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; Hung Wen Chen

doi:10.1364/CLEO_AT.2023.ATu3Q.6

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
, Hung Wen Chen^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	CLEO
Subtitle of host publication	Applications and Technology, CLEO:A and T 2023
Publisher	Optical Society of America
ISBN (Electronic)	9781957171258
DOIs	https://doi.org/10.1364/CLEO_AT.2023.ATu3Q.6
State	Published - 2023
Externally published	Yes
Event	CLEO: Applications and Technology, CLEO:A and T 2023 - Part of Conference on Lasers and Electro-Optics 2023 - San Jose, United States Duration: 07 05 2023 → 12 05 2023

Publication series

Name	CLEO: Applications and Technology, CLEO:A and T 2023

Conference

Conference	CLEO: Applications and Technology, CLEO:A and T 2023 - Part of Conference on Lasers and Electro-Optics 2023
Country/Territory	United States
City	San Jose
Period	07/05/23 → 12/05/23

Bibliographical note

Publisher Copyright:
CLEO 2023 © Optica Publishing Group 2023, © 2023 The Author(s)

Keywords

Deep learning
Harmonic generation microscopy (HGM)
HE staining
Image translation

Access to Document

10.1364/CLEO_AT.2023.ATu3Q.6

Cite this

Chen, W. J., Liao, E. Y., Tai, T. M., Liao, Y. H., Sun, C. K., Lee, C. K., See, S., & Chen, H. W. (2023). Deep Unsupervised Learning for Biomedical Image Translation from Harmonic Generation Microscopy Image to HE-stained Image. In CLEO: Applications and Technology, CLEO:A and T 2023 (CLEO: Applications and Technology, CLEO:A and T 2023). Optical Society of America. https://doi.org/10.1364/CLEO_AT.2023.ATu3Q.6

@inproceedings{68934f590cf342c69c47777f25258546,

title = "Deep Unsupervised Learning for Biomedical Image Translation from Harmonic Generation Microscopy Image to HE-stained Image",

abstract = "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.",

keywords = "Deep learning, Harmonic generation microscopy (HGM), HE staining, Image translation",

author = "Chen, \{Wei Ju\} and Liao, \{En Yu\} and Tai, \{Tsung Ming\} and Liao, \{Yi Hua\} and Sun, \{Chi Kuang\} and Lee, \{Cheng Kuang\} and Simon See and Chen, \{Hung Wen\}",

note = "Publisher Copyright: CLEO 2023 {\textcopyright} Optica Publishing Group 2023, {\textcopyright} 2023 The Author(s); CLEO: Applications and Technology, CLEO:A and T 2023 - Part of Conference on Lasers and Electro-Optics 2023 ; Conference date: 07-05-2023 Through 12-05-2023",

year = "2023",

doi = "10.1364/CLEO\_AT.2023.ATu3Q.6",

language = "英语",

series = "CLEO: Applications and Technology, CLEO:A and T 2023",

publisher = "Optical Society of America",

booktitle = "CLEO",

}

Chen, WJ, Liao, EY, Tai, TM, Liao, YH, Sun, CK, Lee, CK, See, S & Chen, HW 2023, Deep Unsupervised Learning for Biomedical Image Translation from Harmonic Generation Microscopy Image to HE-stained Image. in CLEO: Applications and Technology, CLEO:A and T 2023. CLEO: Applications and Technology, CLEO:A and T 2023, Optical Society of America, CLEO: Applications and Technology, CLEO:A and T 2023 - Part of Conference on Lasers and Electro-Optics 2023, San Jose, United States, 07/05/23. https://doi.org/10.1364/CLEO_AT.2023.ATu3Q.6

Deep Unsupervised Learning for Biomedical Image Translation from Harmonic Generation Microscopy Image to HE-stained Image. / Chen, Wei Ju; Liao, En Yu; Tai, Tsung Ming et al.
CLEO: Applications and Technology, CLEO:A and T 2023. Optical Society of America, 2023. (CLEO: Applications and Technology, CLEO:A and T 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Deep Unsupervised Learning for Biomedical Image Translation from Harmonic Generation Microscopy Image to HE-stained Image

AU - Chen, Wei Ju

AU - Liao, En Yu

AU - Tai, Tsung Ming

AU - Liao, Yi Hua

AU - Sun, Chi Kuang

AU - Lee, Cheng Kuang

AU - See, Simon

AU - Chen, Hung Wen

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - Deep learning

KW - Harmonic generation microscopy (HGM)

KW - HE staining

KW - Image translation

UR - https://www.scopus.com/pages/publications/85191441120

U2 - 10.1364/CLEO_AT.2023.ATu3Q.6

DO - 10.1364/CLEO_AT.2023.ATu3Q.6

M3 - 会议稿件

AN - SCOPUS:85191441120

T3 - CLEO: Applications and Technology, CLEO:A and T 2023

BT - CLEO

PB - Optical Society of America

T2 - CLEO: Applications and Technology, CLEO:A and T 2023 - Part of Conference on Lasers and Electro-Optics 2023

Y2 - 7 May 2023 through 12 May 2023

ER -

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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