Rapid and accurate identification of colon cancer by Raman spectroscopy coupled with convolutional neural networks-Reference-Cited by-同舟云学术

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Rapid and accurate identification of colon cancer by Raman spectroscopy coupled with convolutional neural networks

Published:2021-05-24 Issue:6 Volume:60 Page:067001
ISSN:0021-4922
Container-title:Japanese Journal of Applied Physics
language:
Short-container-title:Jpn. J. Appl. Phys.

Author:

Wu Xingda,Li Shaoxin,Xu Qiuyan,Yan Xinliang,Fu Qiuyue,Fu Xinxin,Fang Xianglin,Zhang Yanjiao

Funder

Discipline Construction Project of Guangdong Medical University

Publisher

IOP Publishing

Subject

General Physics and Astronomy,Physics and Astronomy (miscellaneous),General Engineering

Link

https://iopscience.iop.org/article/10.35848/1347-4065/ac0005/pdf

Reference36 articles.

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

2. Colonoscopy: is it as effective as an advanced diagnostic tool for colorectal cancer screening?

3. Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction

4. An improved deep learning approach and its applications on colonic polyp images detection

5. Automatic Colon Polyp Detection Using Region Based Deep CNN and Post Learning Approaches

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3. Comparative Study on Handheld, Modular, and Laboratory Raman Instruments for the Analysis of Colon Tissues and Colorectal Polyps;Applied Sciences;2024-01-17

4. Biochemical differentiation between cancerous and normal human colorectal tissues by micro-Raman spectroscopy;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2023-10

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