卷积神经网络在图像分类中的应用

IF 0.2 Q4 EDUCATION & EDUCATIONAL RESEARCH Mathematics and Informatics Pub Date : 2022-02-28 DOI:10.53656/math2022-1-2-con
L. Zelenina, Liudmila E. Khaimina, Evgenii S. Khaimin, D.S. Khripunov, I. M. Zashikhina
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引用次数: 3

摘要

卷积神经网络在不同的应用领域得到了广泛的认可。本文描述了使用卷积神经网络解决图像分类任务的过程。作者提出了使用卷积神经网络用于各种目的的例子。将合成的数据集用于实现和训练卷积神经网络模型,用于医学图像分类任务。
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Convolutional Neural Networks in the Task of Image Classification
Convolutional neural networks are acquiring general acknowledgement for diverse application areas. The article describes the process of solving the task of images classification using convolutional neural networks. The authors present the examples of using convolutional neural networks for various purposes. The composed set of data is used to implement and train the model of convolutional neural network for the task of classification of medical images.
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来源期刊
Mathematics and Informatics
Mathematics and Informatics EDUCATION & EDUCATIONAL RESEARCH-
自引率
50.00%
发文量
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