Self-normalized density map (SNDM) for counting microbiological objects
Abstract The statistical properties of the density map (DM) approach to counting microbiological objects on images are studied in detail. The DM is given by U $$^2$$ 2 -Net. Two statistical methods for deep neural networks are utilized: the bootstrap and the Monte Carlo (MC) dropout. The detailed an...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-06-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-14879-3 |