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Updated: May 1, 2026

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FACNN:基于模糊的自适应卷积神经网络用于在杂的CXR图像中对COVID-19进行分类

Suganyadevi S1, Seethalakshmi V2

  • 1Department of ECE, KPR Institute of Engineering and Technology, Coimbatore, 641 407, India. suganya3223@gmail.com.

Medical & biological engineering & computing
|May 6, 2024
PubMed
概括

一个新的基于模糊的自适应卷积神经网络 (FACNN) 改进了从胸部X射线检测COVID-19的检测. 这种人工智能模型提高了准确性,减少了假阳性,有助于更快,更精确的诊断.

关键词:
在美国,CNN是CNN.在 COVID-19 疫情中,分类 分类 分类 分类.模糊优化的优化 模糊优化一些X射线图像.

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Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
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