Highly Accurate Identification of Bacteria’s Antibiotic Resistance Based on Raman Spectroscopy and U-Net Deep Learning Algorithms

[Image: see text] Bacterial pathogens especially antibiotic-resistant ones are a public health concern worldwide. To oppose the morbidity and mortality associated with them, it is critical to select an appropriate antibiotic by performing a rapid bacterial diagnosis. Using a combination of Raman spe...

Descripción completa

Detalles Bibliográficos
Autores principales: Al-Shaebi, Zakarya, Uysal Ciloglu, Fatma, Nasser, Mohammed, Aydin, Omer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404519/
https://www.ncbi.nlm.nih.gov/pubmed/36033656
http://dx.doi.org/10.1021/acsomega.2c03856

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404519/
https://www.ncbi.nlm.nih.gov/pubmed/36033656
http://dx.doi.org/10.1021/acsomega.2c03856

Ejemplares similares