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^*

^*此作品的通信作者

電機工程學系(含學碩博士班及碩士在職專班)

National Tsing Hua University
National Taiwan University
NVIDIA

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

摘要

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.

原文	英語
主出版物標題	CLEO
主出版物子標題	Applications and Technology, CLEO:A and T 2023
發行者	Optical Society of America
ISBN（電子）	9781957171258
DOIs	https://doi.org/10.1364/CLEO_AT.2023.ATu3Q.6
出版狀態	已出版 - 2023
事件	CLEO: Applications and Technology, CLEO:A and T 2023 - Part of Conference on Lasers and Electro-Optics 2023 - San Jose, 美國持續時間: 07 05 2023 → 12 05 2023

出版系列

名字	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
國家/地區	美國
城市	San Jose
期間	07/05/23 → 12/05/23

文獻附註

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

存取文件

10.1364/CLEO_AT.2023.ATu3Q.6

其它文件與鏈接

Link to publication in Scopus

引用此

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. 於 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, HE staining, Harmonic generation microscopy (HGM), 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. 於 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, 美國, 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 等.
CLEO: Applications and Technology, CLEO:A and T 2023. Optical Society of America, 2023. (CLEO: Applications and Technology, CLEO:A and T 2023).

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

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 - HE staining

KW - Harmonic generation microscopy (HGM)

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

摘要

出版系列

Conference

文獻附註

存取文件

其它文件與鏈接

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