Multi-Class Segmentation of Dark-Grown Arabidopsis Seedlings with U-Net-Reference-Cited by-同舟云学术

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Multi-Class Segmentation of Dark-Grown Arabidopsis Seedlings with U-Net

Published:2023-04-21 Issue: Volume: Page:
ISSN:
Container-title:2023 11th International Conference on Bioinformatics and Computational Biology (ICBCB)
language:
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Author:

Tong Haonan¹,Bullock David²,Schmittling Selene³,Haque Samiul³,Tompkins Vincent³,Chen Hao²,Zhang Chuang¹,Stepanova Anna N.²,Alonso Jose M.²,Williams Cranos M.³

Affiliation:

1. Inspur Electronic Information Industry Co., Ltd,Beijing,China,100094

2. North Carolina State University,Department of Plant and Microbial Biology,Raleigh,NC,27695

3. North Carolina State University,Department of Electrical and Computer Engineering,Raleigh,NC,27695

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10246448/10246467/10246729.pdf?arnumber=10246729

Reference23 articles.

1. Segmentation of roots in soil with U-Net

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

3. Adam: A method for stochastic optimization;kingma;arXiv preprint arXiv 1412 6980,2014

4. U-net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention,2015

5. ImageNet classification with deep convolutional neural networks

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