RamanNet: a lightweight convolutional neural network for bacterial identification based on Raman spectra-Reference-Cited by-同舟云学术

RamanNet: a lightweight convolutional neural network for bacterial identification based on Raman spectra

Published:2022 Issue:40 Volume:12 Page:26463-26469
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Zhou Bo¹²^ORCID,Tong Yu-Kai²^ORCID,Zhang Ru¹,Ye Anpei²

Affiliation:

1. School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, China

2. Key Laboratory for the Physics and Chemistry of Nanodevices, School of Electronics, Peking University, Beijing 100871, China

Abstract

We propose a novel CNN model named RamanNet for rapid and accurate identification of bacteria at the species-level based on Raman spectra. Compared to previous CNN methods, the RamanNet reached comparable results on the Bacteria-ID Raman spectral dataset.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2022/RA/D2RA03722J

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