| Literature DB >> 33531192 |
Yang Zhang1, Hao Jiang2, Taoyu Ye2, Mario Juhas3.
Abstract
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.Entities:
Keywords: artificial intelligence; classification; deep learning; detection; microscopic imaging; segmentation
Year: 2021 PMID: 33531192 DOI: 10.1016/j.tim.2021.01.006
Source DB: PubMed Journal: Trends Microbiol ISSN: 0966-842X Impact factor: 17.079