A Deep Learning-Based Approach for High-Throughput Hypocotyl Phenotyping

Author:

Dobos Orsolya12,Horvath Peter3,Nagy Ferenc1ORCID,Danka Tivadar3,Viczián András1ORCID

Affiliation:

1. Institute of Plant Biology, Biological Research Centre of the Hungarian Academy of Sciences, H-6726 Szeged, Hungary

2. Doctoral School in Biology, Faculty of Science and Informatics, University of Szeged, H-6726 Szeged, Hungary

3. Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, H-6726 Szeged, Hungary

Funder

Economic Development and Innovation Operative Program

Hungarian Scientific Research Fund

HAS-LENDULET-BIOMAG

European Union and the European Regional Development Fund

Publisher

Oxford University Press (OUP)

Subject

Plant Science,Genetics,Physiology

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3. SPIRO – the automated Petri plate imaging platform designed by biologists, for biologists;The Plant Journal;2023-12-23

4. Explainable deep learning in plant phenotyping;Frontiers in Artificial Intelligence;2023-09-19

5. Multi-Class Segmentation of Dark-Grown Arabidopsis Seedlings with U-Net;2023 11th International Conference on Bioinformatics and Computational Biology (ICBCB);2023-04-21

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