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一项基于深度卷积神经网络的卵巢附病变超声波的自动O-RADS分类研究

Tao Liu1, Kuo Miao1, Gaoqiang Tan1

  • 1The Department of Ultrasound Medicine, Harbin Medical University Fourth Affiliated Hospital, Harbin, Heilongjiang, China.

Ultrasound in medicine & biology
|November 27, 2024
PubMed
概括

一种新的深度卷积神经网络 (DCNN) 方法,ConvNeXt-Tiny,使用O-RADS系统准确地分类卵巢附性损伤超声波. 这种人工智能工具显著提高了声学家的分类效率和准确性.

关键词:
深度卷积神经网络 (DCNN) 是一个深度卷积神经网络.深度学习是一种深度学习.在O-RADS中使用O-RADS.卵巢附带病变的发生.超声波 超声波 超声波

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