Transfer learning for image-based classification of filamentous fungi using culture morphology and microscopy images

Key Points

• The aim is to enhance the identification of filamentous fungi through automated image classification techniques.
• Utilized culture morphology and microscopy images for analysis
• Applied transfer learning techniques using pre-trained convolutional neural networks (CNNs)
• Conducted image-based classification to automate filamentous fungi identification.
• Demonstrated effective classification of filamentous fungi using CNNs
• Achieved higher accuracy in automated identification
• Highlighted the potential for using transfer learning in mycology.