Classifying low-grade and high-grade bladder cancer using label-free serum surface-enhanced Raman spectroscopy and support vector machine-Reference-Cited by-同舟云学术

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Classifying low-grade and high-grade bladder cancer using label-free serum surface-enhanced Raman spectroscopy and support vector machine

Published:2018-02-08 Issue:3 Volume:28 Page:035603
ISSN:1054-660X
Container-title:Laser Physics
language:
Short-container-title:Laser Phys.

Author:

Zhang Yanjiao,Lai Xiaoping,Zeng Qiuyao,Li Linfang,Lin Lin,Li Shaoxin,Liu Zhiming,Su Chengkang,Qi Minni,Guo Zhouyi

Publisher

IOP Publishing

Subject

Industrial and Manufacturing Engineering,Condensed Matter Physics,Instrumentation,Atomic and Molecular Physics, and Optics

Link

http://stacks.iop.org/1555-6611/28/i=3/a=035603/pdf

Reference38 articles.

1. Cancer statistics in China, 2015

2. International Variations in Bladder Cancer Incidence and Mortality

3. Low- and high-grade bladder cancer appraisal via serum-based proteomics approach

4. Raman Molecular Imaging: A Novel Spectroscopic Technique for Diagnosis of Bladder Cancer in Urine Specimens

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3. Ag–Au Nanorods for the Diagnosis of Cervical Cancer by Label-Free Serum Surface-Enhanced Raman Scattering;ACS Applied Nano Materials;2024-05-01

4. Early-stage diagnosis of bladder cancer using surface-enhanced Raman spectroscopy combined with machine learning algorithms in a rat model;Biosensors and Bioelectronics;2024-02

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