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)

Cite this

@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 - https://www.scopus.com/pages/publications/85119440566

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

Bibliographical note

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