Erschienen:
American Society for Microbiology, 2023
Erschienen in:
Microbiology Spectrum, 11 (2023) 3
Sprache:
Englisch
DOI:
10.1128/spectrum.04611-22
ISSN:
2165-0497
Entstehung:
Anmerkungen:
Beschreibung:
This study utilizes transfer learning with CNNs to classify fungal genera and identify Aspergillus species using microscopic images from touch-tape preparation and lactophenol cotton blue staining. The training and test data sets included 4,108 images with representative microscopic morphology for each genus, and a soft attention mechanism was incorporated to enhance classification accuracy.