Speckle-pattern-preserved denoising by deep learning for dynamic optical coherence tomography

Hsin Jou Wang; Thitiya Seesan; Shuichi Makita; Rion Morishtia; Chia Wei Sun; Yoshiaki Yasuno

Speckle-pattern-preserved denoising by deep learning for dynamic optical coherence tomography

Hsin Jou Wang, Thitiya Seesan, Shuichi Makita, Rion Morishtia, Chia Wei Sun, Yoshiaki Yasuno

Institute of Biomedical Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

We proposed a UNet3+ based deep-learning method to reduce the noise in optical coherent tomography (OCT) as keeping fine speckle patterns. The great capacity of noise reduction and dynamic OCT imaging with the noise reduction are demonstrated.

Original language	English
State	Published - 2024
Event	2024 Conference on Lasers and Electro-Optics/Pacific Rim, CLEO-PR 2024 - Incheon, Korea, Republic of Duration: 4 Aug 2024 → 8 Aug 2024

Conference

Conference	2024 Conference on Lasers and Electro-Optics/Pacific Rim, CLEO-PR 2024
Country/Territory	Korea, Republic of
City	Incheon
Period	4/08/24 → 8/08/24

Cite this

@conference{00b4088061864467b29e81e6a47ea3d7,

title = "Speckle-pattern-preserved denoising by deep learning for dynamic optical coherence tomography",

abstract = "We proposed a UNet3+ based deep-learning method to reduce the noise in optical coherent tomography (OCT) as keeping fine speckle patterns. The great capacity of noise reduction and dynamic OCT imaging with the noise reduction are demonstrated.",

author = "Wang, {Hsin Jou} and Thitiya Seesan and Shuichi Makita and Rion Morishtia and Sun, {Chia Wei} and Yoshiaki Yasuno",

note = "Publisher Copyright: {\textcopyright} 2024 The Author(s); 2024 Conference on Lasers and Electro-Optics/Pacific Rim, CLEO-PR 2024 ; Conference date: 04-08-2024 Through 08-08-2024",

year = "2024",

language = "English",

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TY - CONF

T1 - Speckle-pattern-preserved denoising by deep learning for dynamic optical coherence tomography

AU - Wang, Hsin Jou

AU - Seesan, Thitiya

AU - Makita, Shuichi

AU - Morishtia, Rion

AU - Sun, Chia Wei

AU - Yasuno, Yoshiaki

PY - 2024

Y1 - 2024

N2 - We proposed a UNet3+ based deep-learning method to reduce the noise in optical coherent tomography (OCT) as keeping fine speckle patterns. The great capacity of noise reduction and dynamic OCT imaging with the noise reduction are demonstrated.

AB - We proposed a UNet3+ based deep-learning method to reduce the noise in optical coherent tomography (OCT) as keeping fine speckle patterns. The great capacity of noise reduction and dynamic OCT imaging with the noise reduction are demonstrated.

UR - http://www.scopus.com/inward/record.url?scp=85216074350&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85216074350

T2 - 2024 Conference on Lasers and Electro-Optics/Pacific Rim, CLEO-PR 2024

Y2 - 4 August 2024 through 8 August 2024

ER -

Speckle-pattern-preserved denoising by deep learning for dynamic optical coherence tomography

Abstract

Conference

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