PSI-12 Predicting active and non-active corpus luteum in early pregnancy using computer vision and machine learning on Doppler ultrasound images in beef cattle.

Authors

Mauro Venturini (ORCID: https://orcid.org/0000-0002-4666-8722)
Angela M Gonella
Maria C Lopez-Duarte (ORCID: https://orcid.org/0000-0002-9513-4436)
J. Infante
Haipeng Yu (ORCID: https://orcid.org/0000-0002-8923-9733)
Daniella C Heredia (ORCID: https://orcid.org/0000-0003-1315-743X)
Jin Wang (ORCID: https://orcid.org/0009-0001-4389-4396)

Institutions

University of Florida (US)

Publication Details

Journal: Journal of Animal Science
Published: 2025-10-01
DOI: https://doi.org/10.1093/jas/skaf300.423
Primary Topic: Effects of Environmental Stressors on Livestock
Type: article
Field-Weighted Citation Impact: 0.00

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article

PSI-12 Predicting active and non-active corpus luteum in early pregnancy using computer vision and machine learning on Doppler ultrasound images in beef cattle.

Mauro Venturini, Angela M Gonella, Maria C Lopez-Duarte, J. Infante et al.

Oct 1, 2025

Journal of Animal Science

Effects of Environmental Stressors on Livestock

article

PSI-12 Predicting active and non-active corpus luteum in early pregnancy using computer vision and machine learning on Doppler ultrasound images in beef cattle.

Mauro Venturini, Angela M Gonella, Maria C Lopez-Duarte, J. Infante, Haipeng Yu, Daniella C Heredia, Jin Wang

October 1, 2025article en

Abstract

No abstract available for this paper.

Journal of Animal ScienceVol. 103(Supplement_3)

University of Florida (US)

Openalex Percentile: Top 68%

Effects of Environmental Stressors on Livestock

DOI Open Access PDF OpenAlex

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