Epithelium segmentation and automated Gleason grading of prostate cancer via deep learning in label‐free multiphoton microscopic images-Reference-Cited by-同舟云学术

Epithelium segmentation and automated Gleason grading of prostate cancer via deep learning in label‐free multiphoton microscopic images

Published:2019-12-04 Issue:2 Volume:13 Page:
ISSN:1864-063X
Container-title:Journal of Biophotonics
language:en
Short-container-title:J. Biophotonics

Author:

Yang Qinqin¹²,Xu Zhexin¹,Liao Chenxi¹,Cai Jianyong¹,Huang Ying¹,Chen Hong³,Tao Xuan³,Huang Zheng¹,Chen Jianxin¹,Dong Jiyang²,Zhu Xiaoqin¹^ORCID

Affiliation:

1. Institute of Laser and Optoelectronics Technology, Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of EducationFujian Normal University Fuzhou China

2. Department of Electronic ScienceXiamen University Xiamen China

3. Department of PathologyThe First Affiliated Hospital of Fujian Medical University Fuzhou China

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.201900203

Reference51 articles.

1. Cancer statistics, 2017

2. Interobserver variability in Gleason histological grading of prostate cancer

3. The 2014 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma

4. An Update of the Gleason Grading System

5. Diagnostic utility of immunohistochemistry in morphologically difficult prostate cancer: review of current literature

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