Method for diagnosing brain tumor and cerebral infarction

The invention discloses a method for diagnosing brain tumor and cerebral infarction. The method comprises the following steps: acquiring Raman spectrum data of brain tumor and cerebral infarction samples through a Raman spectrometer; preprocessing the obtained Raman spectrum data by using baseline c...

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Hauptverfasser: CHANG SHAN, WANG ZHICHAO, HE WANGQIU, ZHANG YING, YIN HUANCAI, YIN JIAN, ZHOU LITAO, XU ZHIWANG, PANG MINGWEI, SHAO YUN, SHI HUANGHAO
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creator CHANG SHAN
WANG ZHICHAO
HE WANGQIU
ZHANG YING
YIN HUANCAI
YIN JIAN
ZHOU LITAO
XU ZHIWANG
PANG MINGWEI
SHAO YUN
SHI HUANGHAO
description The invention discloses a method for diagnosing brain tumor and cerebral infarction. The method comprises the following steps: acquiring Raman spectrum data of brain tumor and cerebral infarction samples through a Raman spectrometer; preprocessing the obtained Raman spectrum data by using baseline correction, smoothing and normalization methods; building a convolutional neural network classification model, training the preprocessed Raman spectrum data, and adjusting model parameters to obtain an optimal convergence model; and inputting the Raman spectrum data of a to-be-diagnosed sample into the constructed convolutional neural network model, and outputting the category of a to-be-detected target. According to the invention, a judgment basis is provided for diagnosis of brain tumor and cerebral infarction by doctors, and life health of patients is further guaranteed. 本发明公开了一种诊断脑肿瘤和脑梗死的方法,包括通过拉曼光谱仪采集脑肿瘤和脑梗死样本的拉曼光谱数据;使用基线校正、平滑处理和归一化方法对获取的拉曼光谱数据进行预处理;搭建卷积神经网络分类模型,对预处理后的拉曼光谱数据进行训练,调节模型参数得到收敛最佳模型;将待诊断样本的拉曼光谱数据输入所搭
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The method comprises the following steps: acquiring Raman spectrum data of brain tumor and cerebral infarction samples through a Raman spectrometer; preprocessing the obtained Raman spectrum data by using baseline correction, smoothing and normalization methods; building a convolutional neural network classification model, training the preprocessed Raman spectrum data, and adjusting model parameters to obtain an optimal convergence model; and inputting the Raman spectrum data of a to-be-diagnosed sample into the constructed convolutional neural network model, and outputting the category of a to-be-detected target. 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The method comprises the following steps: acquiring Raman spectrum data of brain tumor and cerebral infarction samples through a Raman spectrometer; preprocessing the obtained Raman spectrum data by using baseline correction, smoothing and normalization methods; building a convolutional neural network classification model, training the preprocessed Raman spectrum data, and adjusting model parameters to obtain an optimal convergence model; and inputting the Raman spectrum data of a to-be-diagnosed sample into the constructed convolutional neural network model, and outputting the category of a to-be-detected target. According to the invention, a judgment basis is provided for diagnosis of brain tumor and cerebral infarction by doctors, and life health of patients is further guaranteed. 本发明公开了一种诊断脑肿瘤和脑梗死的方法,包括通过拉曼光谱仪采集脑肿瘤和脑梗死样本的拉曼光谱数据;使用基线校正、平滑处理和归一化方法对获取的拉曼光谱数据进行预处理;搭建卷积神经网络分类模型,对预处理后的拉曼光谱数据进行训练,调节模型参数得到收敛最佳模型;将待诊断样本的拉曼光谱数据输入所搭</abstract><oa>free_for_read</oa></addata></record>
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES
MEASURING
PHYSICS
TESTING
title Method for diagnosing brain tumor and cerebral infarction
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