Top 1 Biorxiv Papers Today in Paleontology


2.006 Mikeys
#1. Classification of down-core foraminifera image sets using convolutional neural networks.
Ross Marchant, Martin Tetard, Adnya Pratiwi, Thibault de Garidel-Thoron
Manual identification of foraminifera species or morphotypes under stereoscopic microscopes is time-consuming for the taxonomist, and a long-time goal has been automating this process to improve efficiency and repeatability. Recent advances in computation hardware have seen deep convolutional neural networks emerge as the state-of-the-art technique for image-based automated classification. Here, we describe a method for classifying large down-core foraminifera image set using convolutional neural networks. Construction of the classifier is demonstrated on the publically available Endless Forams image set with an best accuracy of approximately 90%. A complete down-core analysis is performed for benthic species in the Holocene period for core MD02-2518 from the North Eastern Pacific, and the relative abundances compare favourably with manual counting, showing the same signal dynamics. Using our workflow opens the way to automated paleo-reconstruction based on computer image analysis, and can be employed using our labelling and...
more | pdf
Figures
Tweets
biorxivpreprint: Classification of down-core foraminifera image sets using convolutional neural networks. https://t.co/G8M0ML4w1b #bioRxiv
Github
None.
Youtube
None.
Other stats
Sample Sizes : None.
Authors: 4
Total Words: 11779
Unqiue Words: 3356

About

Assert is a website where the best academic papers on arXiv (computer science, math, physics), bioRxiv (biology), BITSS (reproducibility), EarthArXiv (earth science), engrXiv (engineering), LawArXiv (law), PsyArXiv (psychology), SocArXiv (social science), and SportRxiv (sport research) bubble to the top each day.

Papers are scored (in real-time) based on how verifiable they are (as determined by their Github repos) and how interesting they are (based on Twitter).

To see top papers, follow us on twitter @assertpub_ (arXiv), @assert_pub (bioRxiv), and @assertpub_dev (everything else).

To see beautiful figures extracted from papers, follow us on Instagram.

Tracking 222,145 papers.

Search
Sort results based on if they are interesting or reproducible.
Interesting
Reproducible
Feedback
Online
Stats
Tracking 222,145 papers.