Calculating tumor proportional score of HNSCC patients with deep learning object detection

Po Hang Tseng; Jin Tang Lin; Xin Yu Liao; Sheng Lin Lee; Mei Chun Lin; Yen Lin Huang; Pei Jen Lou; Chen Yuan Dong

Calculating tumor proportional score of HNSCC patients with deep learning object detection

Po Hang Tseng, Jin Tang Lin, Xin Yu Liao, Sheng Lin Lee, Mei Chun Lin, Yen Lin Huang, Pei Jen Lou, Chen Yuan Dong

National Taiwan University

Research output: Contribution to journal › Conference article › peer-review

Abstract

This work illustrates how tumor proportional score is estimated using object detection method YOLO and compared with a pathologist's calculation. Results show deep learning can achieve good results and be used on clinical applications.

Original language	English
Article number	EM1A.4
Journal	Optics InfoBase Conference Papers
State	Published - 2021
Externally published	Yes
Event	2021 European Conferences on Biomedical Optics, ECBO 2021 - Virtual, Online, Germany Duration: 20 06 2021 → 24 06 2021

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© 2021 The Author(s)

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@article{231a5560eddb43e0bc93b4c1314ef83b,

title = "Calculating tumor proportional score of HNSCC patients with deep learning object detection",

abstract = "This work illustrates how tumor proportional score is estimated using object detection method YOLO and compared with a pathologist's calculation. Results show deep learning can achieve good results and be used on clinical applications.",

author = "Tseng, {Po Hang} and Lin, {Jin Tang} and Liao, {Xin Yu} and Lee, {Sheng Lin} and Lin, {Mei Chun} and Huang, {Yen Lin} and Lou, {Pei Jen} and Dong, {Chen Yuan}",

note = "Publisher Copyright: {\textcopyright} 2021 The Author(s); 2021 European Conferences on Biomedical Optics, ECBO 2021 ; Conference date: 20-06-2021 Through 24-06-2021",

year = "2021",

language = "英语",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

}

TY - JOUR

T1 - Calculating tumor proportional score of HNSCC patients with deep learning object detection

AU - Tseng, Po Hang

AU - Lin, Jin Tang

AU - Liao, Xin Yu

AU - Lee, Sheng Lin

AU - Lin, Mei Chun

AU - Huang, Yen Lin

AU - Lou, Pei Jen

AU - Dong, Chen Yuan

PY - 2021

Y1 - 2021

N2 - This work illustrates how tumor proportional score is estimated using object detection method YOLO and compared with a pathologist's calculation. Results show deep learning can achieve good results and be used on clinical applications.

AB - This work illustrates how tumor proportional score is estimated using object detection method YOLO and compared with a pathologist's calculation. Results show deep learning can achieve good results and be used on clinical applications.

UR - http://www.scopus.com/inward/record.url?scp=85119440566&partnerID=8YFLogxK

M3 - 会议文章

AN - SCOPUS:85119440566

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - EM1A.4

T2 - 2021 European Conferences on Biomedical Optics, ECBO 2021

Y2 - 20 June 2021 through 24 June 2021

ER -

Calculating tumor proportional score of HNSCC patients with deep learning object detection

Abstract

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