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 …
groups of organisms spanning many phyla with thousands of species. These organisms play …
Deep learning and transfer learning features for plankton classification
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 …
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
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 …
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
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 …
food for organisms in the ocean and form the base of marine food chain. As the fundamental …
Deep learning for plankton and coral classification
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 …
ecosystems. The system here proposed is based on the fusion of different deep learning …
Efficient unsupervised learning of biological images with compressed deep features
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 …
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 …
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 …
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 …
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
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 …
foundation of the aquatic food chain while also playing a critical role in climate regulation …