Apr 18, 2020

RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation

BioRxiv : the Preprint Server for Biology
Abraham George SmithK. Thorup-Kristensen

Abstract

We present RootPainter, a GUI-based software tool for the rapid training of deep neural networks for use in biological image analysis. RootPainter facilitates both fully-automatic and semi-automatic image segmentation. We investigate the effectiveness of RootPainter using three plant image datasets, evaluating its potential for root length extraction from chicory roots in soil, biopore counting and root nodule counting from scanned roots. We also use RootPainter to compare dense annotations to corrective ones which are added during the training based on the weaknesses of the current model.

  • References
  • Citations

References

  • We're still populating references for this paper, please check back later.
  • References
  • Citations

Citations

  • This paper may not have been cited yet.

Mentioned in this Paper

Avoidance
Heat shock proteins
Sulfanilamide
Patterns
Heat Stress Disorders
Inflorescence
HSP101 protein, Arabidopsis
Regulation of Muscle Adaptation
Contrast Used
Elevation Procedure

Related Feeds

BioRxiv & MedRxiv Preprints

BioRxiv and MedRxiv are the preprint servers for biology and health sciences respectively, operated by Cold Spring Harbor Laboratory. Here are the latest preprint articles (which are not peer-reviewed) from BioRxiv and MedRxiv.