Automated plankton image analysis using convolutional neural networks
The rise of in situ plankton imaging systems, particularly high‐volume imagers such as the In
Situ Ichthyoplankton Imaging System, has increased the need for fast processing and …
Situ Ichthyoplankton Imaging System, has increased the need for fast processing and …
Collaborative deep learning models to handle class imbalance in flowcam plankton imagery
Using automated imaging technologies, it is now possible to generate previously
unprecedented volumes of plankton image data which can be used to study the composition …
unprecedented volumes of plankton image data which can be used to study the composition …
Imperfect automatic image classification successfully describes plankton distribution patterns
Imaging systems were developed to explore the fine scale distributions of plankton (< 10 m),
but they generate huge datasets that are still a challenge to handle rapidly and accurately …
but they generate huge datasets that are still a challenge to handle rapidly and accurately …
Accurate automatic quantification of taxa-specific plankton abundance using dual classification with correction
Q Hu, C Davis - Marine Ecology Progress Series, 2006 - int-res.com
Optical imaging samplers are becoming widely used in plankton ecology, but image
analysis methods have lagged behind image acquisition rates. Automated methods for …
analysis methods have lagged behind image acquisition rates. Automated methods for …
Annotation-free learning of plankton for classification and anomaly detection
The acquisition of increasingly large plankton digital image datasets requires automatic
methods of recognition and classification. As data size and collection speed increases …
methods of recognition and classification. As data size and collection speed increases …
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 …
Enhanced convolutional neural network for plankton identification and enumeration
K Cheng, X Cheng, Y Wang, H Bi, MC Benfield - PLoS One, 2019 - journals.plos.org
Despite the rapid increase in the number and applications of plankton imaging systems in
marine science, processing large numbers of images remains a major challenge due to …
marine science, processing large numbers of images remains a major challenge due to …
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 …
Improving plankton image classification using context metadata
Advances in both hardware and software are enabling rapid proliferation of in situ plankton
imaging methods, requiring more effective machine learning approaches to image …
imaging methods, requiring more effective machine learning approaches to image …
Machine learning techniques to characterize functional traits of plankton from image data
Plankton imaging systems supported by automated classification and analysis have
improved ecologists' ability to observe aquatic ecosystems. Today, we are on the cusp of …
improved ecologists' ability to observe aquatic ecosystems. Today, we are on the cusp of …