Deep learning-based bacterial genus identification

OBJECTIVES: This study aimed to develop a computerized deep learning (DL) technique to identify bacterial genera more precisely in minimum time than the usual, traditional, and commonly used techniques like cultural, staining, and morphological characteristics. MATERIALS AND METHODS: A convolutional...

Descripción completa

Detalles Bibliográficos
Autores principales: Khan, Md. Shafiur Rahman, Khan, Ishrat, Bag, Md. Abdus Sattar, Uddin, Machbah, Hassan, Md. Rakib, Hassan, Jayedul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: A periodical of the Network for the Veterinarians of Bangladesh (BDvetNET) 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868791/
https://www.ncbi.nlm.nih.gov/pubmed/36714506
http://dx.doi.org/10.5455/javar.2022.i626

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868791/
https://www.ncbi.nlm.nih.gov/pubmed/36714506
http://dx.doi.org/10.5455/javar.2022.i626

Ejemplares similares