基于深度卷积神经网络的脑部图像疾病类别特征库构建 |
修订日期:2017-06-13 点此下载全文 |
引用本文:万艳丽,胡红濮,陈荃,等.基于深度卷积神经网络的脑部图像疾病类别特征库构建[J].医学信息学杂志,2018,39(3):16-20 |
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基金项目:国家自然科学基金项目(项目编号:61703436);中央级公益性科研院所基本科研业务费项目(项目编号:2016ZX330013)。 |
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中文摘要:介绍深度卷积神经网络基本理论,阐述基于深度卷积神经网络的脑部图像视觉特征提取,设计一种适用于脑部疾病图像的分类器,进而实现脑部图像疾病类别特征库构建,为基于脑部图像疾病类别特征库开展临床辅助决策等应用提供可能。 |
中文关键词:卷积神经网络 图像视觉特征 脑部图像 |
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Building of Brain Image Disease Category Characteristics Database Based on Deep Convolutional Neural Network |
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Abstract:The paper introduces the basic theory of deep convolutional neural network and expounds on visual feature extraction of brain images based on deep Convolutional Neural Network(CNN), designs a kind of categorizer that is applicable to brain disease image to build brain image disease category characteristics database, making applications like clinical assistant decision-making based on brain image disease category characteristics database possible. |
keywords:Convolutional Neural Network(CNN) Image visual features Brain images |
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