期刊论文

Yang, LG

英文

ANIMALS

2076-2615

2024

14

5

707-

10.3390/ani14050707

Conceptualization, X.Z. and L.Y.; formal analysis, L.Y.; funding acquisition, L.Y.; investigation, X.Z., Y.L., Y.Z., Z.Y., W.Z. and P.N.; methodology, X.Z. and L.Y.; project administration, L.Y.; software, X.Z. and Z.Y.; supervision, L.Y.; writing—original draft, X.Z. and L.Y.; writing—review and editing, X.Z. All authors have read and agreed to the published version of the manuscript. This work was supported by the National Key R&D Program of China (No. 2022YFD1301001).

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Simple Summary In this study, deep learning combined with udder ultrasonography of buffalo was used for the detection of mastitis for the first time, with the aim of establishing an accurate, rapid, and inexpensive method to detect buffalo mastitis instead of routine laboratory examination. This method provides a basis for mastitis detection in buffaloes mostly raised by small farmers and has the opportunity to be used in a variety of dairy animals in the future.Abstract Mastitis is one of the most predominant diseases with a negative impact on ranch products worldwide. It reduces milk product...