Generating segmentation masks of herbarium specimens and a data set for training segmentation models using deep learning-Reference-Cited by-同舟云学术

Generating segmentation masks of herbarium specimens and a data set for training segmentation models using deep learning

Published:2020-06 Issue:6 Volume:8 Page:
ISSN:2168-0450
Container-title:Applications in Plant Sciences
language:en
Short-container-title:Appl Plant Sci

Author:

White Alexander E.¹²^ORCID,Dikow Rebecca B.¹^ORCID,Baugh Makinnon³,Jenkins Abigail³,Frandsen Paul B.¹³^ORCID

Affiliation:

1. Data Science Lab Office of the Chief Information Officer Smithsonian Institution Washington D.C. USA

2. Department of Botany National Museum of Natural History Smithsonian Institution Washington D.C. USA

3. Department of Plant and Wildlife Sciences Brigham Young University Provo Utah USA

Funder

Smithsonian Institution

National Museum of Natural History

Brigham Young University

Publisher

Wiley

Subject

Plant Science,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aps3.11352

Reference41 articles.

1. Ba J. V.Mnih andK.Kavukcuoglu.2014.Multiple object recognition with visual attention. arXiv 1412.7755 [Preprint]. Published 24 December 2014 [accessed 7 May 2020]. Available at:https://arxiv.org/abs/1412.7755.

2. Evolutionary size changes in plants of the south-west Pacific

3. Leveraging Image Analysis for High-Throughput Plant Phenotyping

4. Deep neural networks segment neuronal membranes in electron microscopy images;Ciresan D.;Advances in Neural Information Processing Systems,2012

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning in Image-Based Plant Phenotyping;Annual Review of Plant Biology;2024-07-22

2. A Comparative Study of State-of-the-Art Deep Learning Models for Semantic Segmentation of Pores in Scanning Electron Microscope Images of Activated Carbon;IEEE Access;2024

3. Developing responsible AI practices at the Smithsonian Institution;Research Ideas and Outcomes;2023-10-25

4. Extracting Masks from Herbarium Specimen Images Based on Object Detection and Image Segmentation Techniques;Biodiversity Information Science and Standards;2023-09-06

5. Mapping the Digitisation Workflow in a University Herbarium;Research Ideas and Outcomes;2023-08-18