Machine learning–driven SERS analysis platform for rapid and accurate detection of precancerous lesions of gastric cancer-Reference-Cited by-同舟云学术

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Machine learning–driven SERS analysis platform for rapid and accurate detection of precancerous lesions of gastric cancer

Published:2024-06-22 Issue:7 Volume:191 Page:
ISSN:0026-3672
Container-title:Microchimica Acta
language:en
Short-container-title:Microchim Acta

Author:

Cao Dawei,Shi Fanfeng,Sheng JinXin,Zhu Jinhua,Yin Hongjun,Qin ShiChen,Yao Jie,Zhu LiangFei,Lu JinJun,Wang XiaoYong

Funder

Nantong Municipal Health Commission Research Project Youth project

Social Development Fund in Zhenjiang

Guiding project of Jiangsu Provincial Health Commission

Jiangsu Province Vocational College Teacher Professional Leader High end Training Program

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00604-024-06508-9.pdf

Reference32 articles.

1. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F, Ferlay J (2021) Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 71(3):209–249. https://doi.org/10.3322/caac.21660

2. Cao W, Chen HD, Yu YW, Li N, Chen WQ (2021) Changing profiles of cancer burden worldwide and in China: a secondary analysis of the global cancer statistics 2020. Chin Med J 134(7):783–791. https://doi.org/10.1097/CM9.0000000000001474

3. Samarasam I, Chandran BS, Sitaram V, Perakath B, Nair A, Mathew G (2006) Palliative gastrectomy in advanced gastric cancer: is it worthwhile? ANZ J Surg 76(1–2):60–63. https://doi.org/10.1111/j.1445-2197.2006.03649.x

4. Kim J, Cho YA, Choi WJ, Jeong SH (2014) Gene-diet interactions in gastric cancer risk: a systematic review. World J Gastroenterol 20(28):9600–9610. https://doi.org/10.3748/wjg.v20.i28.9600

5. Crew KD, Neugut AI (2006) Epidemiology of gastric cancer. World J Gastroenterol 12(3):354–362. https://doi.org/10.3748/wjg.v12.i3.354

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