z-logo
open-access-imgOpen Access
Highly Accurate Identification of Bacteria’s Antibiotic Resistance Based on Raman Spectroscopy and U-Net Deep Learning Algorithms
Author(s) -
Zakarya AlShaebi,
Fatma Uysal Ciloglu,
Mohammed Nasser,
Ömer Aydın
Publication year - 2022
Publication title -
acs omega
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.779
H-Index - 40
ISSN - 2470-1343
DOI - 10.1021/acsomega.2c03856
Subject(s) - artificial intelligence , deep learning , machine learning , antibiotic resistance , algorithm , identification (biology) , computer science , artificial neural network , autoencoder , antibiotics , microbiology and biotechnology , biology , botany

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom