Nomogram model combining macro and micro tumor-associated collagen signatures obtained from multiphoton images to predict the histologic grade in breast cancer-Reference-Cited by-同舟云学术

Nomogram model combining macro and micro tumor-associated collagen signatures obtained from multiphoton images to predict the histologic grade in breast cancer

Published:2021-09-27 Issue:10 Volume:12 Page:6558
ISSN:2156-7085
Container-title:Biomedical Optics Express
language:en
Short-container-title:Biomed. Opt. Express

Author:

Xi Gangqin,He Jiajia,Kang Deyong,Xu Shuoyu,Guo Wenhui,Fu Fangmeng,Liu Yulan,Zheng Liqin,Qiu Lida,Li Lianhuang,Wang Chuan,Chen Jianxin^ORCID

Funder

Fujian Major Scientific and Technological Special Project for "Social Development"

Natural Science Foundation of Fujian Province

National Natural Science Foundation of China

Fujian Provincial Health Technology Project

Joint Funds for the innovation of Science and Technology of Fujian province

Special Funds of the Central Government Guiding Local Science and Technology Development

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics,Biotechnology

Reference32 articles.

1. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

2. Breast cancer prognostic classification in the molecular era: the role of histological grade

3. Prognostic Factors in Breast Cancer

4. Outcome Prediction for Estrogen Receptor-Positive Breast Cancer Based on Postneoadjuvant Endocrine Therapy Tumor Characteristics

5. Prognostic Factors in Node-Negative Breast Cancer

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