Data augmentation method based on the Gaussian kernel density for glioma diagnosis with Raman spectroscopy-Reference-Cited by-同舟云学术

Data augmentation method based on the Gaussian kernel density for glioma diagnosis with Raman spectroscopy

Published:2023 Issue:15 Volume:15 Page:1861-1869
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Li Qingbo¹^ORCID,Wang Jianwen¹^ORCID,Zhou Yan²

Affiliation:

1. School of Instrumentation and Optoelectronic Engineering, Precision Opto-Mechatronics Technology Key Laboratory of Education Ministry, Beihang University, Beijing 100191, China

2. Department of Neurosurgery, PLA Air Force Medical Center, Beijing 100142, China

Abstract

In this study, a data augmentation algorithm GKIM based on the Gaussian kernel density is proposed for the data augmentation of normal tissue spectra. It can effectively solve the class imbalance problem.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/AY/D3AY00188A

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