YIP: optimized YOLOv11-seg for accurate intramuscular fat percentage prediction in pigs using non-invasive ultrasound imaging.

IF 9.5 2区生物学 Q1 BIOLOGY

Science China Life Sciences Pub Date : 2025-10-16 DOI:10.1007/s11427-025-3120-2

Junhao Zhang, Hang Jiao, Genyuan Li, Hanhan Li, Chenglin Li, Pengsheng Dong, Yan Liu, Bo Jiang, Peng Shang, Feng Yang, Chunli Li, Xinjian Li, Xuelei Han, Ruimin Qiao, Xiuling Li, Zhaoyan Yang, Guoying Hua, Yulong Yin, Kejun Wang

引用次数: 0

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YIP：优化的YOLOv11-seg，使用无创超声成像准确预测猪肌内脂肪百分比。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Science China Life Sciences BIOLOGY-

CiteScore

15.10

自引率

8.80%

发文量

2907

审稿时长

3.2 months

期刊介绍： Science China Life Sciences is a scholarly journal co-sponsored by the Chinese Academy of Sciences and the National Natural Science Foundation of China, and it is published by Science China Press. The journal is dedicated to publishing high-quality, original research findings in both basic and applied life science research.