Water monitoring by means of digital microscopy identification and classification of microalgae

L Barsanti, L Birindelli, P Gualtieri - Environmental Science: Processes …, 2021 - pubs.rsc.org
Marine and freshwater microalgae belong to taxonomically and morphologically diverse
groups of organisms spanning many phyla with thousands of species. These organisms play …

Deep learning and transfer learning features for plankton classification

A Lumini, L Nanni - Ecological informatics, 2019 - Elsevier
Plankton are the most fundamental components of ocean ecosystems, due to their function
at many levels of the oceans food chain. Studying and monitoring plankton distribution is …

Plankton classification on imbalanced large scale database via convolutional neural networks with transfer learning

H Lee, M Park, J Kim - 2016 IEEE international conference on …, 2016 - ieeexplore.ieee.org
Plankton image classification plays an important role in the ocean ecosystems research.
Recently, a large scale database for plankton classification with over 3 million images …

Automatic plankton image classification combining multiple view features via multiple kernel learning

H Zheng, R Wang, Z Yu, N Wang, Z Gu, B Zheng - BMC bioinformatics, 2017 - Springer
Background Plankton, including phytoplankton and zooplankton, are the main source of
food for organisms in the ocean and form the base of marine food chain. As the fundamental …

Deep learning for plankton and coral classification

A Lumini, L Nanni, G Maguolo - Applied Computing and Informatics, 2020 - emerald.com
In this paper, we present a study about an automated system for monitoring underwater
ecosystems. The system here proposed is based on the fusion of different deep learning …

Efficient unsupervised learning of biological images with compressed deep features

VP Pastore, M Ciranni, S Bianco, JC Fung… - Image and Vision …, 2023 - Elsevier
Abstract Machine learning has significantly impacted the analysis of biological images and
is now an important part of many biological data analysis pipelines. A variety of biological …

A survey for the applications of content-based microscopic image analysis in microorganism classification domains

C Li, K Wang, N Xu - Artificial Intelligence Review, 2019 - Springer
Microorganisms such as protozoa and bacteria play very important roles in many practical
domains, like agriculture, industry and medicine. To explore functions of different categories …

Deep learning classification of lake zooplankton

SP Kyathanahally, T Hardeman, E Merz… - Frontiers in …, 2021 - frontiersin.org
Plankton are effective indicators of environmental change and ecosystem health in
freshwater habitats, but collection of plankton data using manual microscopic methods is …

Survey of automatic plankton image recognition: challenges, existing solutions and future perspectives

T Eerola, D Batrakhanov, NV Barazandeh… - Artificial Intelligence …, 2024 - Springer
Planktonic organisms including phyto-, zoo-, and mixoplankton are key components of
aquatic ecosystems and respond quickly to changes in the environment, therefore their …

[HTML][HTML] Computer vision and deep learning meet plankton: Milestones and future directions

M Ciranni, V Murino, F Odone, VP Pastore - Image and Vision Computing, 2024 - Elsevier
Planktonic organisms play a pivotal role within aquatic ecosystems, serving as the
foundation of the aquatic food chain while also playing a critical role in climate regulation …