Improving Foraminifera Classification Using Convolutional Neural Networks with Ensemble Learning

Improving Foraminifera Classification Using Convolutional Neural Networks with Ensemble Learning

This paper presents a study of an automated system for identifying planktic foraminifera at the species level. The system uses a combination of deep learning methods, specifically convolutional neural networks (CNNs), to analyze digital images of foraminifera taken at different illumination angles....

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Bibliographic Details
Main Authors: Loris Nanni, Giovanni Faldani, Sheryl Brahnam, Riccardo Bravin, Elia Feltrin
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Signals
Subjects:
convolutional neural network
ensemble learning
transfer learning
fine-tuning
plankton classification
foraminifera
Online Access:https://www.mdpi.com/2624-6120/4/3/28

Internet

https://www.mdpi.com/2624-6120/4/3/28

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