Automatic taxonomic identification based on the Fossil Image Dataset (> 415,000 images) and deep convolutional neural networks
The rapid and accurate taxonomic identification of fossils is of great significance in
paleontology, biostratigraphy, and other fields. However, taxonomic identification is often …
paleontology, biostratigraphy, and other fields. However, taxonomic identification is often …
Species-level microfossil identification for globotruncana genus using hybrid deep learning algorithms from the scratch via a low-cost light microscope imaging
Paleontologists generally use a low-cost electro-optical system to classify microfossils. This
manual identification is a time-consuming process and it may take about a long time …
manual identification is a time-consuming process and it may take about a long time …
Convolutional neural network application on a new middle Eocene radiolarian dataset
V Carlsson, T Danelian, M Tetard, M Meunier… - Marine …, 2023 - Elsevier
A new radiolarian image database was used to train a Convolutional Neural Network (CNN)
for automatic image classification. The focus was on 39 commonly occurring nassellarian …
for automatic image classification. The focus was on 39 commonly occurring nassellarian …
A new automated radiolarian image acquisition, stacking, processing, segmentation, and identification workflow
Identification of microfossils is usually done by expert taxonomists and requires time and a
significant amount of systematic knowledge developed over many years. These studies …
significant amount of systematic knowledge developed over many years. These studies …
Artificial intelligence applied to the classification of eight middle Eocene species of the genus Podocyrtis (polycystine radiolaria)
V Carlsson, T Danelian, P Boulet… - Journal of …, 2022 - jm.copernicus.org
This study evaluates the application of artificial intelligence (AI) to the automatic
classification of radiolarians and uses as an example eight distinct morphospecies of the …
classification of radiolarians and uses as an example eight distinct morphospecies of the …
Morphometrics and machine learning discrimination of the middle Eocene radiolarian species Podocyrtis chalara, Podocyrtis goetheana and their morphological …
F Pinto, V Carlsson, M Meunier, B Van Bocxlaer… - Marine …, 2023 - Elsevier
We present various approaches to distinguish the middle Eocene species Podocyrtis
chalara and Podocyrtis goetheana, which are end members of a trajectory of phenotypic …
chalara and Podocyrtis goetheana, which are end members of a trajectory of phenotypic …
Machine learning (decision tree analysis) identifies ecological selectivity patterns across the end-Permian mass extinction
Decision tree algorithms are rarely utilized in paleontological research, and here we show
that machine learning algorithms can be used to identify determinants of extinction as well …
that machine learning algorithms can be used to identify determinants of extinction as well …
Automated Classification of Pectinodon Bakkeri Teeth Images Using Machine Learning
JA Bahn - 2023 - knowledge.e.southern.edu
Microfossil dinosaur teeth are studied by paleontologists in order to better under-stand
dinosaurs. Currently, tooth classification is a long, manual, error-ridden process. Deep …
dinosaurs. Currently, tooth classification is a long, manual, error-ridden process. Deep …