Learning-based cell detection in digital pathology

Zhenbo Ren; Edmund Y. Lam; Jianlin Zhao

Learning-based cell detection in digital pathology

Zhenbo Ren
, Edmund Y. Lam
, Jianlin Zhao

物理科学与技术学院

Northwestern Polytechnical University Xian
The University of Hong Kong

科研成果: 期刊稿件 › 会议文章 › 同行评审

摘要

In blood testing, knowing the ratio and throughput of blood cells is crucial to help doctors make a clinical diagnosis. Here we propose a deep transfer learning strategy for accurate cell detection for digital pathology.

源语言	英语
文章编号	JW1A.184
期刊	Optics InfoBase Conference Papers
出版状态	已出版 - 2021
活动	CLEO: QELS_Fundamental Science, CLEO: QELS 2021 - Part of Conference on Lasers and Electro-Optics, CLEO 2021 - Virtual, Online, 美国期限: 9 5月 2021 → 14 5月 2021

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引用此

@article{e20a7d56757c4cbe81cd7ffe20cd8717,

title = "Learning-based cell detection in digital pathology",

abstract = "In blood testing, knowing the ratio and throughput of blood cells is crucial to help doctors make a clinical diagnosis. Here we propose a deep transfer learning strategy for accurate cell detection for digital pathology.",

author = "Zhenbo Ren and Lam, \{Edmund Y.\} and Jianlin Zhao",

note = "Publisher Copyright: {\textcopyright} OSA 2021, {\textcopyright} 2021 The Author(s); CLEO: QELS\_Fundamental Science, CLEO: QELS 2021 - Part of Conference on Lasers and Electro-Optics, CLEO 2021 ; Conference date: 09-05-2021 Through 14-05-2021",

year = "2021",

language = "英语",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

}

TY - JOUR

T1 - Learning-based cell detection in digital pathology

AU - Ren, Zhenbo

AU - Lam, Edmund Y.

AU - Zhao, Jianlin

PY - 2021

Y1 - 2021

N2 - In blood testing, knowing the ratio and throughput of blood cells is crucial to help doctors make a clinical diagnosis. Here we propose a deep transfer learning strategy for accurate cell detection for digital pathology.

AB - In blood testing, knowing the ratio and throughput of blood cells is crucial to help doctors make a clinical diagnosis. Here we propose a deep transfer learning strategy for accurate cell detection for digital pathology.

UR - https://www.scopus.com/pages/publications/85119403145

M3 - 会议文章

AN - SCOPUS:85119403145

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - JW1A.184

T2 - CLEO: QELS_Fundamental Science, CLEO: QELS 2021 - Part of Conference on Lasers and Electro-Optics, CLEO 2021

Y2 - 9 May 2021 through 14 May 2021

ER -

Learning-based cell detection in digital pathology

摘要

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