Raman spectroscopy and machine learning for the classification of breast cancers-Reference-Cited by-同舟云学术

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Raman spectroscopy and machine learning for the classification of breast cancers

Published:2022-01 Issue: Volume:264 Page:120300
ISSN:1386-1425
Container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
language:en
Short-container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

Author:

Zhang Lihao,Li Chengjian,Peng Di,Yi Xiaofei,He Shuai,Liu Fengxiang,Zheng Xiangtai,Huang Wei E.,Zhao Liang,Huang Xia

Publisher

Elsevier BV

Subject

Spectroscopy,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference35 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Bray;CA Cancer J Clin,2018

2. Mammography: the gold standard of breast mass screening;Gordenne;J Belge Radiol,1990

3. Ramifications of screening for breast cancer: 1 in 4 cancers detected by mammography are pseudocancers;Welch;BMJ (Clinical research ed.),2006

4. Applications of Raman spectroscopy in cancer diagnosis;Auner;Cancer metastasis reviews,2018

5. Histochemical analysis of biological tissues using Raman spectroscopy;Manoharan;Spectrochim Acta Part A Mol Biomol Spectrosc,1996

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