A Convolutional Deep Neural Network Based Brain TumorDiagnoses Using Clustered Image and Feature-Supported Classifier (CIFC)Technique.

IF 1 4区 生物学 Q3 BIOLOGY
Parameswari Alagarsamy, Bhavani Sridharan, Vinoth Kumar Kalimuthu
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引用次数: 0

Abstract

HIGHLIGHTS Medical image analysis research has been performed to aid in the detection of malignant brain tumors. OSFC, OSIC and CIFC performed well and produced better results in classification. The performance metric outcome of the proposed system is 99.76% of sensitivity, 98.04% of specificity and 99.87% of accuracy.
基于卷积深度神经网络的聚类图像和特征支持分类器(CIFC)技术脑肿瘤诊断。
医学图像分析研究已经进行,以帮助检测恶性脑肿瘤。OSFC、OSIC和CIFC表现较好,分类效果较好。该系统的灵敏度为99.76%,特异性为98.04%,准确度为99.87%。
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来源期刊
CiteScore
1.80
自引率
0.00%
发文量
116
审稿时长
3 months
期刊介绍: Information not localized
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