GinJinn: An object‐detection pipeline for automated feature extraction from herbarium specimens-Reference-Cited by-同舟云学术

GinJinn: An object‐detection pipeline for automated feature extraction from herbarium specimens

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:

Ott Tankred¹,Palm Christoph²,Vogt Robert³,Oberprieler Christoph¹^ORCID

Affiliation:

1. Evolutionary and Systematic Botany Group Institute of Plant Sciences University of Regensburg Universitätsstraße 31 D‐93053 Regensburg Germany

2. Regensburg Medical Image Computing (ReMIC)Ostbayerische Technische Hochschule Regensburg (OTH Regensburg) Galgenbergstraße 32 D‐93053 Regensburg Germany

3. Botanic Garden and Botanical Museum Berlin‐DahlemFreie Universität Berlin Königin‐Luise‐Straße 6‐8 D‐14191 Berlin Germany

Publisher

Wiley

Subject

Plant Science,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aps3.11351

Reference33 articles.

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2. Momocs: Outline Analysis UsingR

3. Going deeper in the automated identification of Herbarium specimens

4. Morphological Analysis of Size and Shape ( MASS ): An integrative software program for morphometric analyses of leaves

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