Rapid identification of human ovarian cancer in second harmonic generation images using radiomics feature analyses and tree‐based pipeline optimization tool-Reference-Cited by-同舟云学术

Rapid identification of human ovarian cancer in second harmonic generation images using radiomics feature analyses and tree‐based pipeline optimization tool

Published:2020-06-25 Issue:9 Volume:13 Page:
ISSN:1864-063X
Container-title:Journal of Biophotonics
language:en
Short-container-title:J. Biophotonics

Author:

Wang Guangxing¹²,Sun Yang³,Chen Youting⁴,Gao Qiqi³,Peng Dongqing¹,Lin Hongxin²,Zhan Zhenlin²,Liu Zhiyi⁵,Zhuo Shuangmu¹²^ORCID

Affiliation:

1. School of Science Jimei University Xiamen Fujian China

2. Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education & Fujian Provincial Key Laboratory of Photonics Technology Fujian Normal University Fuzhou Fujian China

3. Department of Gynecology, Fujian Cancer Hospital Affiliated Cancer Hospital of Fujian Medical University Fuzhou Fujian China

4. Department of Hepatopancreatobiliary Surgery the First Affiliated Hospital, Fujian Medical University Fuzhou China

5. State Key Laboratory of Modern Optical Instrumentation College of Optical Science and Engineering, Zhejiang University Hangzhou Zhejiang China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,General Biochemistry, Genetics and Molecular Biology,General Materials Science,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jbio.202000050

Reference47 articles.

1. Cancer statistics in China, 2015

2. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

3. Histological classification of ovarian cancer

4. The role of CA125 in clinical practice

5. Ovarian Cancer Management: The role of imaging and diagnostic challenges

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