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Updated: Feb 5, 2026

Non-invasive Parenchymal, Vascular and Metabolic High-frequency Ultrasound and Photoacoustic Rat Deep Brain Imaging
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Published on: March 2, 2015

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基于深度学习的分类和内部区域分层使用超声波成像来对肉中的木制乳房进行分类

Lingqi Li1, Yang Ye1, Zhen Li1

  • 1Key Laboratory of Animal Products Processing, Ministry of Agriculture, Key Laboratory of Meat Processing and Quality Control, Ministry of Education, Jiangsu Synergetic Innovation Center of Meat Production and Processing, and College of Food Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China.

Poultry science
|February 3, 2026
PubMed
概括

这项研究引入了一种先进的方法,用于使用超声波和深度学习对的木制乳房 (WB) 进行分类. 这种技术准确地分层了WB的严重程度,改善了肉质的评估和利用.

关键词:
分类 分类 分类 分类.深度学习是一种深度学习.门细分是指门的细分.超声波成像 超声波成像木制的乳房是木制的

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