Automated Microfossil Identification and Segmentation using a Deep Learning Approach
Abstract
Computational analysis applicability to paleontological images ranges from the study of the evolution of animals, plants and microorganisms to the habitat simulation of living beings from a specific epoch. It can also be applied in several niches, e.g. oil exploration, where several factors can be analyzed in order to minimize costs related to oil extraction. One specific factor is the characterization of the environment to be explored. This...
Paper Details
Title
Automated Microfossil Identification and Segmentation using a Deep Learning Approach
Published Date
Jun 1, 2020
Journal
Volume
158
Pages
101890 - 101890
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