401. Using a U-net architecture to develop an automated ultrasound images analysis method in a rabbit breeding program-Reference-Cited by-同舟云学术

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401. Using a U-net architecture to develop an automated ultrasound images analysis method in a rabbit breeding program

Published:2022-12-31 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP)
language:
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Author:

Herbert C.¹²,Ribas C.²,Kashefifard K.²³,Flatrès-Grall L.²³⁴,Lenoir G.²³

Affiliation:

1. HYCOLE, 59159 Marcoing, France.

2. GIS Nord Sélection, France.

3. AXIOM, 37310 Azay-Sur-Indre, France.

4. Chrysalide Loïc Flatrès-Grall Kerbastard, 29150 Dinéault, France.

Publisher

Wageningen Academic Publishers

Link

https://www.wageningenacademic.com/doi/pdf/10.3920/978-90-8686-940-4_401

Reference7 articles.

1. Gilmour A.R., Gogel B.J., Cullis B.R., Thompson R., 2009. ASReml User Guide Release 3.0. VSN Insternational Ltd. Hemel Hempstead. HP1 1ES. UK.

2. Gilmour A.R., Thompson R., 2021. ASReml Update What’s new in release 4.2 VSN Insternational Ltd. Hemel Hempstead. HP1 1ES. UK.

3. In vivo prediction of intramuscular fat using ultrasound and deep learning

4. Lenoir G., Morien F., 2015. Intérêt de l’évaluation par échographie des caractéristiques de carcasse pour la sélection du lapin de chair, 16emes Journees de la Recherche Cunicole, Le Mans, 24-25 Nov. 2015, Pages 177-180.

5. Raschka S., 2015. Python Machine Learning Equation Reference. Packt Publishing Ltd, Birmingham.

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