Journal
TRENDS IN MICROBIOLOGY
Volume 29, Issue 7, Pages 569-572Publisher
CELL PRESS
DOI: 10.1016/j.tim.2021.01.006
Keywords
-
Categories
Funding
- Natural Science Foundation of Shenzhen City [JCYJ20180306172131515]
Ask authors/readers for more resources
Despite the significant interest in deep learning in microbiology, its full potential is yet to be realized. Deep-learning-based systems are believed to play a crucial role in monitoring and investigating microorganisms in the future.
Despite tremendous recent interest, the application of deep learning in microbiology has still not reached its full potential. To tackle the challenges faced by human-operated microscopy, deep-learning-based methods have been proposed for microscopic image analysis of a wide range of microorganisms, including viruses, bacteria, fungi, and parasites. We believe that deep-learning technology-based systems will be on the front line of monitoring and investigation of microorganisms.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available