Cargando…
A Deep-Learning Based System for Rapid Genus Identification of Pathogens under Hyperspectral Microscopic Images
Infectious diseases have always been a major threat to the survival of humanity. Additionally, they bring an enormous economic burden to society. The conventional methods for bacteria identification are expensive, time-consuming and laborious. Therefore, it is of great importance to automatically ra...
Autores principales: | Tao, Chenglong, Du, Jian, Tang, Yingxin, Wang, Junjie, Dong, Ke, Yang, Ming, Hu, Bingliang, Zhang, Zhoufeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9315805/ https://www.ncbi.nlm.nih.gov/pubmed/35883680 http://dx.doi.org/10.3390/cells11142237 |
Ejemplares similares
-
Rapid Identification of Infectious Pathogens at the Single-Cell Level via Combining Hyperspectral Microscopic Images and Deep Learning
por: Tao, Chenglong, et al.
Publicado: (2023) -
Joint Diagnostic Method of Tumor Tissue Based on Hyperspectral Spectral-Spatial Transfer Features
por: Du, Jian, et al.
Publicado: (2023) -
Staging of Skin Cancer Based on Hyperspectral Microscopic Imaging and Machine Learning
por: Liu, Lixin, et al.
Publicado: (2022) -
Hyperspectral imaging of common foodborne pathogens for rapid identification and differentiation
por: Michael, Minto, et al.
Publicado: (2019) -
Hyperspectral phenotyping on the microscopic scale: towards automated characterization of plant-pathogen interactions
por: Kuska, Matheus, et al.
Publicado: (2015)