Enhancing Colony Detection of Microorganisms in Agar Dishes Using SAM-Based Synthetic Data Augmentation in Low-Data Scenarios
In many medical and pharmaceutical processes, continuous hygiene monitoring relies on manual detection of microorganisms in agar dishes by skilled personnel. While deep learning offers the potential for automating this task, it often faces limitations due to insufficient training data, a common issu...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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MDPI AG
2025-01-01
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| Serie: | Applied Sciences |
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| Accesso online: | https://www.mdpi.com/2076-3417/15/3/1260 |
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